schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE subjects (subject_id NUMBER, subject_name CLOB)
CREATE TABLE course_authors_and_tutors (author_id NUMBER, author_tutor_atb CLOB, login_name CLOB, password CLOB, personal_name CLOB, middle_name CLOB, family_name CLOB, gender_mf CLOB, address_line_1 CLOB)
CREATE TABLE student_course_enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment TIME, date_of_completion TIME)
CREATE TABLE students (student_id NUMBER, date_of_registration TIME, date_of_latest_logon TIME, login_name CLOB, password CLOB, personal_name CLOB, middle_name CLOB, family_name CLOB)
CREATE TABLE student_tests_taken (registration_id NUMBER, date_test_taken TIME, test_result CLOB)
CREATE TABLE courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name CLOB, course_description CLOB)
| Find the dates of the tests taken with result 'Pass'. | SELECT date_test_taken FROM student_tests_taken WHERE test_result = "Pass" | SELECT "date_test_taken" FROM "student_tests_taken" WHERE "Pass" = "test_result" | 0.078125 |
CREATE TABLE table_65773 ("Voting order" FLOAT, "Country" CLOB, "Spokespersons" CLOB, "Commentator" CLOB, "Broadcaster" CLOB)
| What was the voting order when bunny carr was the commentator? | SELECT SUM("Voting order") FROM table_65773 WHERE "Commentator" = 'bunny carr' | SELECT SUM("Voting order") FROM "table_65773" WHERE "Commentator" = 'bunny carr' | 0.078125 |
CREATE TABLE table_71654 ("First game" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Percentage" CLOB)
| How many matches were drawn associated with a percentage of 7.14% and more than 12 losses? | SELECT COUNT("Drawn") FROM table_71654 WHERE "Percentage" = '7.14%' AND "Lost" > '12' | SELECT COUNT("Drawn") FROM "table_71654" WHERE "Lost" > '12' AND "Percentage" = '7.14%' | 0.084961 |
CREATE TABLE table_name_77 (record VARCHAR2, date VARCHAR2)
| What is the record on 1/17/1980? | SELECT record FROM table_name_77 WHERE date = "1/17/1980" | SELECT "record" FROM "table_name_77" WHERE "1/17/1980" = "date" | 0.061523 |
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 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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose admission year is less than 2190 and lab test name is % hemoglobin a1c? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2190" AND lab.label = "% Hemoglobin A1c" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "% Hemoglobin A1c" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2190" > "demographic"."admityear" | 0.199219 |
CREATE TABLE player (player_id NUMBER, name CLOB, position CLOB, club_id NUMBER, apps NUMBER, tries NUMBER, goals CLOB, points NUMBER)
CREATE TABLE competition_result (competition_id NUMBER, club_id_1 NUMBER, club_id_2 NUMBER, score CLOB)
CREATE TABLE club_rank (rank NUMBER, club_id NUMBER, gold NUMBER, silver NUMBER, bronze NUMBER, total NUMBER)
CREATE TABLE competition (competition_id NUMBER, year NUMBER, competition_type CLOB, country CLOB)
CREATE TABLE club (club_id NUMBER, name CLOB, region CLOB, start_year CLOB)
| how many different positions are there? | SELECT COUNT(DISTINCT position) FROM player | SELECT COUNT(DISTINCT "position") FROM "player" | 0.045898 |
CREATE TABLE table_name_26 (total NUMBER, gold VARCHAR2, silver VARCHAR2, nation VARCHAR2)
| Tell me the total for silver more than 0 for italy with gold less than 29 | SELECT MIN(total) FROM table_name_26 WHERE silver > 0 AND nation = "italy" AND gold < 29 | SELECT MIN("total") FROM "table_name_26" WHERE "gold" < 29 AND "italy" = "nation" AND "silver" > 0 | 0.095703 |
CREATE TABLE table_203_485 (id NUMBER, "year" CLOB, "show" CLOB, "role" CLOB, "notes" CLOB)
| besides rihaae , in what other show did gauri tejwani cameo in 2005 ? | SELECT "show" FROM table_203_485 WHERE "show" <> 'rihaae' AND "notes" = 'cameo' AND "year" = 2005 | SELECT "show" FROM "table_203_485" WHERE "notes" = 'cameo' AND "show" <> 'rihaae' AND "year" = 2005 | 0.09668 |
CREATE TABLE table_204_489 (id NUMBER, "rank" NUMBER, "name" CLOB, "height" CLOB, "floors" NUMBER, "year" NUMBER, "notes" CLOB)
| what is the tallest building in bosie , idaho ? | SELECT "name" FROM table_204_489 ORDER BY "height" DESC LIMIT 1 | SELECT "name" FROM "table_204_489" ORDER BY "height" DESC FETCH FIRST 1 ROWS ONLY | 0.079102 |
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
| Show the average of account details for different statement details in a bar chart. | SELECT Statement_Details, AVG(Account_Details) FROM Accounts AS T1 JOIN Statements AS T2 ON T1.Statement_ID = T2.Statement_ID GROUP BY Statement_Details | SELECT "Statement_Details", AVG("Account_Details") FROM "Accounts" "T1" JOIN "Statements" "T2" ON "T1"."Statement_ID" = "T2"."Statement_ID" GROUP BY "Statement_Details" | 0.164063 |
CREATE TABLE table_name_40 (average_population__x_1000_ NUMBER, deaths VARCHAR2, crude_death_rate__per_1000_ VARCHAR2)
| What is the average population when deaths are 3 557 and crude death date is less than 11.9? | SELECT AVG(average_population__x_1000_) FROM table_name_40 WHERE deaths = "3 557" AND crude_death_rate__per_1000_ < 11.9 | SELECT AVG("average_population__x_1000_") FROM "table_name_40" WHERE "3 557" = "deaths" AND "crude_death_rate__per_1000_" < 11.9 | 0.125 |
CREATE TABLE table_1341738_19 (incumbent VARCHAR2, first_elected VARCHAR2)
| What is the name of the incumbent who was first eleccted in 1940? | SELECT incumbent FROM table_1341738_19 WHERE first_elected = 1940 | SELECT "incumbent" FROM "table_1341738_19" WHERE "first_elected" = 1940 | 0.069336 |
CREATE TABLE table_15780049_8 (date VARCHAR2, team VARCHAR2)
| Name the date for sacramento | SELECT date FROM table_15780049_8 WHERE team = "Sacramento" | SELECT "date" FROM "table_15780049_8" WHERE "Sacramento" = "team" | 0.063477 |
CREATE TABLE table_3500 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "U.S. viewers ( million ) " CLOB, "Rank ( week ) " CLOB, "Original air date" CLOB, "Production code" CLOB)
| Who wrote title number 38? | SELECT "Written by" FROM table_3500 WHERE "No." = '38' | SELECT "Written by" FROM "table_3500" WHERE "No." = '38' | 0.054688 |
CREATE TABLE table_name_42 (boat_builder VARCHAR2, year_built VARCHAR2, number VARCHAR2)
| What is the boat builder for a boat built in 1910/11 and a number of 39? | SELECT boat_builder FROM table_name_42 WHERE year_built = "1910/11" AND number = 39 | SELECT "boat_builder" FROM "table_name_42" WHERE "1910/11" = "year_built" AND "number" = 39 | 0.088867 |
CREATE TABLE table_name_65 (macros VARCHAR2, software VARCHAR2)
| Are the there macros in the Tabula software? | SELECT macros FROM table_name_65 WHERE software = "tabula" | SELECT "macros" FROM "table_name_65" WHERE "software" = "tabula" | 0.0625 |
CREATE TABLE table_204_15 (id NUMBER, "year" NUMBER, "date" CLOB, "venue" CLOB, "city" CLOB, "country" CLOB, "notes" CLOB)
| how many times was the conference not held in the us ? | SELECT COUNT(*) FROM table_204_15 WHERE "country" <> 'usa' | SELECT COUNT(*) FROM "table_204_15" WHERE "country" <> 'usa' | 0.058594 |
CREATE TABLE table_name_7 (attendance NUMBER, date VARCHAR2)
| How many people were in attendance on may 17? | SELECT MIN(attendance) FROM table_name_7 WHERE date = "may 17" | SELECT MIN("attendance") FROM "table_name_7" WHERE "date" = "may 17" | 0.066406 |
CREATE TABLE table_name_43 (february NUMBER, opponent VARCHAR2, game VARCHAR2)
| What is the highest Feb value having an opponent of the Philadelphia Flyers and is after game 63? | SELECT MAX(february) FROM table_name_43 WHERE opponent = "philadelphia flyers" AND game > 63 | SELECT MAX("february") FROM "table_name_43" WHERE "game" > 63 AND "opponent" = "philadelphia flyers" | 0.097656 |
CREATE TABLE table_73584 ("Tournament" CLOB, "Games played" FLOAT, "Points per game" CLOB, "Rebounds per game" CLOB, "Assists per game" CLOB)
| How many games played have 4.7 as points per game? | SELECT "Games played" FROM table_73584 WHERE "Points per game" = '4.7' | SELECT "Games played" FROM "table_73584" WHERE "Points per game" = '4.7' | 0.070313 |
CREATE TABLE table_203_593 (id NUMBER, "tenure" CLOB, "coach" CLOB, "years" NUMBER, "record" CLOB, "pct." NUMBER, "ncaa tournament" NUMBER)
| was johnny williamson or dick mcgowen the coach in 1952 ? | SELECT "coach" FROM table_203_593 WHERE "coach" IN ('johnny williamson', 'dick mcgowen') AND "tenure" <= 1952 AND "tenure" >= 1952 | SELECT "coach" FROM "table_203_593" WHERE "coach" IN ('johnny williamson', 'dick mcgowen') AND "tenure" <= 1952 AND "tenure" >= 1952 | 0.128906 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| retrieve patient ids of individuals who have been diagnosed with dmi renl nt st uncntrld since 2105. | SELECT admissions.subject_id FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'dmi renl nt st uncntrld') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'dmi renl nt st uncntrld' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105' GROUP BY "hadm_id") SELECT "admissions"."subject_id" FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.429688 |
CREATE TABLE table_30508 ("Pick" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| Which team drafted the player from the HC Lada Togliatti (Russia)? | SELECT "NHL team" FROM table_30508 WHERE "College/junior/club team" = 'HC Lada Togliatti (Russia)' | SELECT "NHL team" FROM "table_30508" WHERE "College/junior/club team" = 'HC Lada Togliatti (Russia)' | 0.097656 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| provide the number of patients whose insurance is private and diagnosis long title is hematoma complicating a procedure. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.long_title = "Hematoma complicating a procedure" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hematoma complicating a procedure" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.241211 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose insurance is self pay and diagnoses short title is myopia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Self Pay" AND diagnoses.short_title = "Myopia" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Myopia" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Self Pay" = "demographic"."insurance" | 0.216797 |
CREATE TABLE products (code NUMBER, name CLOB, price NUMBER, manufacturer NUMBER)
CREATE TABLE manufacturers (code NUMBER, name CLOB, headquarter CLOB, founder CLOB, revenue NUMBER)
| How many products are not made by Sony? | SELECT COUNT(DISTINCT name) FROM products WHERE NOT name IN (SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.manufacturer = T2.code WHERE T2.name = 'Sony') | WITH "_u_0" AS (SELECT "T1"."name" FROM "products" "T1" JOIN "manufacturers" "T2" ON "T1"."manufacturer" = "T2"."code" AND "T2"."name" = 'Sony' GROUP BY "name") SELECT COUNT(DISTINCT "name") FROM "products" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "name" WHERE "_u_0"."" IS NULL | 0.269531 |
CREATE TABLE table_name_42 (money___$__ VARCHAR2, score VARCHAR2)
| What was the money value that went along with the score of 68-67-69-76=280? | SELECT money___$__ FROM table_name_42 WHERE score = 68 - 67 - 69 - 76 = 280 | SELECT "money___$__" FROM "table_name_42" WHERE "score" = FALSE | 0.061523 |
CREATE TABLE table_75331 ("Rank" FLOAT, "Player" CLOB, "Country" CLOB, "Earnings ( $ ) " FLOAT, "Events" FLOAT, "Wins" FLOAT)
| How many events have earnings less than 1,030,717? | SELECT COUNT("Events") FROM table_75331 WHERE "Earnings ( $ )" < '1,030,717' | SELECT COUNT("Events") FROM "table_75331" WHERE "Earnings ( $ )" < '1,030,717' | 0.076172 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| what is the number of patients whose ethnicity is black/african american and procedure icd9 code is 3806? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND procedures.icd9_code = "3806" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3806" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.229492 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose year of birth is less than 2053 and drug type is main? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2053" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2053" > "demographic"."dob_year" | 0.219727 |
CREATE TABLE table_name_64 (season VARCHAR2, school_club_team VARCHAR2)
| What season did the player who came from Cebu play in? | SELECT season FROM table_name_64 WHERE school_club_team = "cebu" | SELECT "season" FROM "table_name_64" WHERE "cebu" = "school_club_team" | 0.068359 |
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
| , and sort in desc by the bars. | SELECT card_type_code, SUM(card_number) FROM Customers_Cards GROUP BY card_type_code ORDER BY card_type_code DESC | SELECT "card_type_code", SUM("card_number") FROM "Customers_Cards" GROUP BY "card_type_code" ORDER BY "card_type_code" DESC | 0.120117 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose age is less than 85 and diagnoses icd9 code is 53541? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "85" AND diagnoses.icd9_code = "53541" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "53541" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "85" > "demographic"."age" | 0.202148 |
CREATE TABLE table_203_276 (id NUMBER, "album#" CLOB, "english title" CLOB, "chinese ( traditional ) " CLOB, "chinese ( simplified ) " CLOB, "release date" CLOB, "label" CLOB)
| what is the name of her last album produced with rock records ? | SELECT "english title" FROM table_203_276 WHERE "label" = 'rock records' ORDER BY id DESC LIMIT 1 | SELECT "english title" FROM "table_203_276" WHERE "label" = 'rock records' ORDER BY "id" DESC FETCH FIRST 1 ROWS ONLY | 0.114258 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| ORALHEAL 990 is usually taught by which teacher ? | SELECT COUNT(instructor.name), instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'ORALHEAL' AND course.number = 990 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id GROUP BY instructor.name ORDER BY COUNT(instructor.name) DESC LIMIT 5 | SELECT COUNT("instructor"."name"), "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" WHERE "course"."department" = 'ORALHEAL' AND "course"."number" = 990 GROUP BY "instructor"."name" ORDER BY COUNT("instructor"."name") DESC FETCH FIRST 5 ROWS ONLY | 0.488281 |
CREATE TABLE table_67155 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| When did the Brewers lose 2-8? | SELECT "Loss" FROM table_67155 WHERE "Score" = '2-8' | SELECT "Loss" FROM "table_67155" WHERE "Score" = '2-8' | 0.052734 |
CREATE TABLE table_21164557_1 (no_in_series NUMBER, directed_by VARCHAR2)
| What episode number in the series was directed by John Behring? | SELECT MAX(no_in_series) FROM table_21164557_1 WHERE directed_by = "John Behring" | SELECT MAX("no_in_series") FROM "table_21164557_1" WHERE "John Behring" = "directed_by" | 0.084961 |
CREATE TABLE table_203_509 (id NUMBER, "year" NUMBER, "laetare medalist" CLOB, "position" CLOB)
| who was the previous winner before john henry phelan in 1951 ? | SELECT "laetare medalist" FROM table_203_509 WHERE "year" < 1951 ORDER BY "year" DESC LIMIT 1 | SELECT "laetare medalist" FROM "table_203_509" WHERE "year" < 1951 ORDER BY "year" DESC FETCH FIRST 1 ROWS ONLY | 0.108398 |
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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what is the last red blood cells in patient 14467 this month? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14467) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'red blood cells') AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14467 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'red blood cells' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.629883 |
CREATE TABLE table_39415 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| What is the ERP W for K236AM? | SELECT "ERP W" FROM table_39415 WHERE "Call sign" = 'k236am' | SELECT "ERP W" FROM "table_39415" WHERE "Call sign" = 'k236am' | 0.060547 |
CREATE TABLE repair (repair_ID NUMBER, name CLOB, Launch_Date CLOB, Notes CLOB)
CREATE TABLE technician (technician_id FLOAT, Name CLOB, Team CLOB, Starting_Year FLOAT, Age NUMBER)
CREATE TABLE machine (Machine_ID NUMBER, Making_Year NUMBER, Class CLOB, Team CLOB, Machine_series CLOB, value_points FLOAT, quality_rank NUMBER)
CREATE TABLE repair_assignment (technician_id NUMBER, repair_ID NUMBER, Machine_ID NUMBER)
| Give me a histogram for what are the names of the technicians and how many machines are they assigned to repair?, display the total number in ascending order. | SELECT Name, COUNT(*) FROM repair_assignment AS T1 JOIN technician AS T2 ON T1.technician_id = T2.technician_id GROUP BY T2.Name ORDER BY COUNT(*) | SELECT "Name", COUNT(*) FROM "repair_assignment" "T1" JOIN "technician" "T2" ON "T1"."technician_id" = "T2"."technician_id" GROUP BY "T2"."Name" ORDER BY COUNT(*) | 0.158203 |
CREATE TABLE table_name_38 (rank NUMBER, country VARCHAR2, time VARCHAR2)
| What is the highest rank in Uzbekistan with a time larger than 11.44? | SELECT MAX(rank) FROM table_name_38 WHERE country = "uzbekistan" AND time > 11.44 | SELECT MAX("rank") FROM "table_name_38" WHERE "country" = "uzbekistan" AND "time" > 11.44 | 0.086914 |
CREATE TABLE operate_company (id NUMBER, name CLOB, type CLOB, principal_activities CLOB, incorporated_in CLOB, group_equity_shareholding NUMBER)
CREATE TABLE flight (id NUMBER, vehicle_flight_number CLOB, date CLOB, pilot CLOB, velocity NUMBER, altitude NUMBER, airport_id NUMBER, company_id NUMBER)
CREATE TABLE airport (id NUMBER, city CLOB, country CLOB, iata CLOB, icao CLOB, name CLOB)
| What is the velocity of the pilot named 'Thompson'? | SELECT AVG(velocity) FROM flight WHERE pilot = 'Thompson' | SELECT AVG("velocity") FROM "flight" WHERE "pilot" = 'Thompson' | 0.061523 |
CREATE TABLE table_7297 ("Date" CLOB, "Time" CLOB, "Score" CLOB, "Set 1" CLOB, "Set 2" CLOB, "Set 3" CLOB, "Total" CLOB, "Report" CLOB)
| What is the Set 3 when the Set 2 is 21 25, and a Set 1 is 25 21? | SELECT "Set 3" FROM table_7297 WHERE "Set 2" = '21–25' AND "Set 1" = '25–21' | SELECT "Set 3" FROM "table_7297" WHERE "Set 1" = '25–21' AND "Set 2" = '21–25' | 0.076172 |
CREATE TABLE table_26718 ("Pitcher" CLOB, "Strikeouts" FLOAT, "Season" FLOAT, "Team" CLOB, "League" CLOB, "Overall Rank" FLOAT)
| Name the league for strikeouts being 451 | SELECT "League" FROM table_26718 WHERE "Strikeouts" = '451' | SELECT "League" FROM "table_26718" WHERE "Strikeouts" = '451' | 0.05957 |
CREATE TABLE table_36594 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB, "Attendance" FLOAT)
| How many people attended the game on October 31? | SELECT "Attendance" FROM table_36594 WHERE "Date" = 'october 31' | SELECT "Attendance" FROM "table_36594" WHERE "Date" = 'october 31' | 0.064453 |
CREATE TABLE table_name_40 (fastest_time__s_ VARCHAR2, athlete VARCHAR2)
| What is the fastest time for athlete Jason Smyth? | SELECT fastest_time__s_ FROM table_name_40 WHERE athlete = "jason smyth" | SELECT "fastest_time__s_" FROM "table_name_40" WHERE "athlete" = "jason smyth" | 0.076172 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| did there was an organism in patient 031-9128's last sputum, tracheal specimen test until 2104? | SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-9128')) AND microlab.culturesite = 'sputum, tracheal specimen' AND STRFTIME('%y', microlab.culturetakentime) <= '2104' ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-9128' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE "microlab"."culturesite" = 'sputum, tracheal specimen' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "microlab"."culturetakentime") <= '2104' ORDER BY "microlab"."culturetakentime" DESC FETCH FIRST 1 ROWS ONLY | 0.658203 |
CREATE TABLE table_name_47 (home VARCHAR2, date VARCHAR2)
| Who was the home team on November 22? | SELECT home FROM table_name_47 WHERE date = "november 22" | SELECT "home" FROM "table_name_47" WHERE "date" = "november 22" | 0.061523 |
CREATE TABLE table_59028 ("Stage" CLOB, "Winner" CLOB, "General Classification" CLOB, "Mountains Classification" CLOB, "Points Classification" CLOB, "Sprints classification" CLOB, "Team Classification" CLOB)
| What's the mountains classification of Stage 7 when Kim Kirchen was the general classification? | SELECT "Mountains Classification" FROM table_59028 WHERE "General Classification" = 'kim kirchen' AND "Stage" = '7' | SELECT "Mountains Classification" FROM "table_59028" WHERE "General Classification" = 'kim kirchen' AND "Stage" = '7' | 0.114258 |
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, find name and the sum of code , and group by attribute name, and visualize them by a bar chart, and show total number of code from high to low order. | SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code DESC | SELECT "T2"."Name", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T1"."Code" DESC | 0.158203 |
CREATE TABLE table_57480 ("Name" CLOB, "Block" CLOB, "Launch date/time ( UTC ) " CLOB, "COSPAR ID" CLOB, "Rocket" CLOB)
| What rocket has a COSPAR ID of 2002-001a? | SELECT "Rocket" FROM table_57480 WHERE "COSPAR ID" = '2002-001a' | SELECT "Rocket" FROM "table_57480" WHERE "COSPAR ID" = '2002-001a' | 0.064453 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| A bar chart about what is the total revenue of each manufacturer?, and show by the total number of revenue in asc. | SELECT Name, SUM(Revenue) FROM Manufacturers GROUP BY Name ORDER BY SUM(Revenue) | SELECT "Name", SUM("Revenue") FROM "Manufacturers" GROUP BY "Name" ORDER BY SUM("Revenue") | 0.087891 |
CREATE TABLE table_name_1 (total NUMBER, bronze VARCHAR2, gold VARCHAR2)
| what is the total when bronze is more than 1 and gold smaller than 1? | SELECT SUM(total) FROM table_name_1 WHERE bronze > 1 AND gold < 1 | SELECT SUM("total") FROM "table_name_1" WHERE "bronze" > 1 AND "gold" < 1 | 0.071289 |
CREATE TABLE table_36390 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Series" CLOB)
| How many Attendances on may 24? | SELECT MIN("Attendance") FROM table_36390 WHERE "Date" = 'may 24' | SELECT MIN("Attendance") FROM "table_36390" WHERE "Date" = 'may 24' | 0.06543 |
CREATE TABLE takes (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, grade CLOB)
CREATE TABLE instructor (id CLOB, name CLOB, dept_name CLOB, salary NUMBER)
CREATE TABLE section (course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, building CLOB, room_number CLOB, time_slot_id CLOB)
CREATE TABLE time_slot (time_slot_id CLOB, day CLOB, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE classroom (building CLOB, room_number CLOB, capacity NUMBER)
CREATE TABLE teaches (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER)
CREATE TABLE student (id CLOB, name CLOB, dept_name CLOB, tot_cred NUMBER)
CREATE TABLE department (dept_name CLOB, building CLOB, budget NUMBER)
CREATE TABLE advisor (s_id CLOB, i_id CLOB)
CREATE TABLE prereq (course_id CLOB, prereq_id CLOB)
CREATE TABLE course (course_id CLOB, title CLOB, dept_name CLOB, credits NUMBER)
| How many courses that do not have prerequisite? | SELECT COUNT(*) FROM course WHERE NOT course_id IN (SELECT course_id FROM prereq) | SELECT COUNT(*) FROM "course" WHERE NOT "course_id" IN (SELECT "course_id" FROM "prereq") | 0.086914 |
CREATE TABLE table_43764 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" CLOB, "Record" CLOB)
| Who was the leading scorer on April 7? | SELECT "Leading scorer" FROM table_43764 WHERE "Date" = 'april 7' | SELECT "Leading scorer" FROM "table_43764" WHERE "Date" = 'april 7' | 0.06543 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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)
| what is the ingesting method of nicotine lozenge? | SELECT DISTINCT prescriptions.route FROM prescriptions WHERE prescriptions.drug = 'nicotine lozenge' | SELECT DISTINCT "prescriptions"."route" FROM "prescriptions" WHERE "prescriptions"."drug" = 'nicotine lozenge' | 0.107422 |
CREATE TABLE table_72470 ("Country" FLOAT, "Rank" CLOB, "Aid" CLOB, "Trade" CLOB, "Investment" CLOB, "Migration" CLOB, "Environment" CLOB, "Security" CLOB, "Technology" CLOB, "Overall ( Average ) " CLOB)
| What country has a 5.5 mark for security? | SELECT "Rank" FROM table_72470 WHERE "Security" = '5.5' | SELECT "Rank" FROM "table_72470" WHERE "Security" = '5.5' | 0.055664 |
CREATE TABLE table_name_29 (top_fives VARCHAR2, year VARCHAR2, wins VARCHAR2)
| What is the total number of top fives in 2010 when casey mears had more than 0 wins? | SELECT COUNT(top_fives) FROM table_name_29 WHERE year = "2010" AND wins > 0 | SELECT COUNT("top_fives") FROM "table_name_29" WHERE "2010" = "year" AND "wins" > 0 | 0.081055 |
CREATE TABLE table_name_61 (name VARCHAR2, prize VARCHAR2)
| Which event had a prize of $2,434,061? | SELECT name FROM table_name_61 WHERE prize = "$2,434,061" | SELECT "name" FROM "table_name_61" WHERE "$2,434,061" = "prize" | 0.061523 |
CREATE TABLE table_name_59 (tournament VARCHAR2, opponents VARCHAR2)
| Which tournament had an opponent of petra krejsov tereza smitkov ? | SELECT tournament FROM table_name_59 WHERE opponents = "petra krejsová tereza smitková" | SELECT "tournament" FROM "table_name_59" WHERE "opponents" = "petra krejsová tereza smitková" | 0.09082 |
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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)
| User's answers with competing answers. | SELECT a.Id AS "post_link", a.Score FROM Posts AS a INNER JOIN Posts AS q ON a.ParentId = q.Id WHERE a.OwnerUserId = '##userid##' AND q.AnswerCount > 1 ORDER BY a.Score DESC | SELECT "a"."Id" AS "post_link", "a"."Score" FROM "Posts" "a" JOIN "Posts" "q" ON "a"."ParentId" = "q"."Id" AND "q"."AnswerCount" > 1 WHERE "a"."OwnerUserId" = '##userid##' ORDER BY "a"."Score" DESC | 0.192383 |
CREATE TABLE table_204_670 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "result" CLOB, "record" CLOB, "attendance" NUMBER)
| what is the number of fans who attended the december 7 , 1969 game against the broncos ? | SELECT "attendance" FROM table_204_670 WHERE "date" = 'december 7, 1969' | SELECT "attendance" FROM "table_204_670" WHERE "date" = 'december 7, 1969' | 0.072266 |
CREATE TABLE storm (Storm_ID NUMBER, Name CLOB, Dates_active CLOB, Max_speed NUMBER, Damage_millions_USD FLOAT, Number_Deaths NUMBER)
CREATE TABLE region (Region_id NUMBER, Region_code CLOB, Region_name CLOB)
CREATE TABLE affected_region (Region_id NUMBER, Storm_ID NUMBER, Number_city_affected FLOAT)
| For all storms with at least 1 death, compare the number of deaths by name. | SELECT Name, Number_Deaths FROM storm WHERE Number_Deaths >= 1 | SELECT "Name", "Number_Deaths" FROM "storm" WHERE "Number_Deaths" >= 1 | 0.068359 |
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
CREATE TABLE course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE employee (emp_num NUMBER, emp_lname CLOB, emp_fname CLOB, emp_initial CLOB, emp_jobcode CLOB, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE student (stu_num NUMBER, stu_lname CLOB, stu_fname CLOB, stu_init CLOB, stu_dob TIME, stu_hrs NUMBER, stu_class CLOB, stu_gpa NUMBER, stu_transfer NUMBER, dept_code CLOB, stu_phone CLOB, prof_num NUMBER)
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
CREATE TABLE class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
| What are the first names of the professors who do not teach a class. | SELECT emp_fname FROM employee WHERE emp_jobcode = 'PROF' EXCEPT SELECT T1.emp_fname FROM employee AS T1 JOIN class AS T2 ON T1.emp_num = T2.prof_num | SELECT "emp_fname" FROM "employee" WHERE "emp_jobcode" = 'PROF' EXCEPT SELECT "T1"."emp_fname" FROM "employee" "T1" JOIN "class" "T2" ON "T1"."emp_num" = "T2"."prof_num" | 0.165039 |
CREATE TABLE table_name_21 (airing_date VARCHAR2, genre VARCHAR2, number_of_episodes VARCHAR2)
| What is the airing date for a modern drama with more than 21 episodes? | SELECT airing_date FROM table_name_21 WHERE genre = "modern drama" AND number_of_episodes > 21 | SELECT "airing_date" FROM "table_name_21" WHERE "genre" = "modern drama" AND "number_of_episodes" > 21 | 0.099609 |
CREATE TABLE table_name_90 (against NUMBER, central_murray VARCHAR2, wins VARCHAR2)
| What is the number of against when Central Murray is Tooleybuc Manangatang and there are fewer than 13 wins? | SELECT MAX(against) FROM table_name_90 WHERE central_murray = "tooleybuc manangatang" AND wins < 13 | SELECT MAX("against") FROM "table_name_90" WHERE "central_murray" = "tooleybuc manangatang" AND "wins" < 13 | 0.104492 |
CREATE TABLE table_56227 ("D 50" CLOB, "D 49" CLOB, "D 48" CLOB, "D 47" CLOB, "D 46" CLOB, "D 45" CLOB, "D 44" CLOB, "D 43" CLOB, "D 42" CLOB, "D 41" CLOB)
| What is the D 50 when the D 43 is r 43? | SELECT "D 50" FROM table_56227 WHERE "D 43" = 'r 43' | SELECT "D 50" FROM "table_56227" WHERE "D 43" = 'r 43' | 0.052734 |
CREATE TABLE table_44200 ("NTSC M" CLOB, "PAL B , G , H" CLOB, "PAL I" CLOB, "PAL N" CLOB, "PAL M" CLOB)
| What is the PAL M for the NTSC M 4.5mhz? | SELECT "PAL M" FROM table_44200 WHERE "NTSC M" = '4.5mhz' | SELECT "PAL M" FROM "table_44200" WHERE "NTSC M" = '4.5mhz' | 0.057617 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose death status is 1 and diagnoses short title is malnutrition mild degree? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Malnutrition mild degree" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Malnutrition mild degree" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "1" = "demographic"."expire_flag" | 0.229492 |
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 PostTags (PostId NUMBER, TagId 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Number of answers per question per time. | SELECT DATEADD(DAY, 0, DATEDIFF(DAY, 0, CreationDate) / @days * @days) AS FullDate, ROUND(CAST(SUM(q.AnswerCount) AS FLOAT) / CAST(COUNT(*) AS FLOAT), 2) AS "Answers per questions" FROM Posts AS q WHERE q.PostTypeId = 1 AND q.AnswerCount >= '##minAnswers##' GROUP BY (DATEDIFF(DAY, 0, CreationDate) / @days * @days) ORDER BY FullDate DESC | SELECT DATEADD("DAY", 0, DATEDIFF(CAST("DAY" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE) / NULLIF(@days, 0) * @days) AS "FullDate", ROUND(CAST(SUM("q"."AnswerCount") AS FLOAT) / NULLIF(CAST(COUNT(*) AS FLOAT), 0), 2) AS "Answers per questions" FROM "Posts" "q" WHERE "q"."AnswerCount" >= '##minAnswers##' AND "q"."PostTypeId" = 1 GROUP BY (DATEDIFF(CAST("DAY" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE) / NULLIF(@days, 0) * @days) ORDER BY "FullDate" DESC | 0.455078 |
CREATE TABLE table_28715942_5 (track VARCHAR2, vocal_percussionist VARCHAR2)
| What is the track whent the vocal percussionist is unknown? | SELECT track FROM table_28715942_5 WHERE vocal_percussionist = "unknown" | SELECT "track" FROM "table_28715942_5" WHERE "unknown" = "vocal_percussionist" | 0.076172 |
CREATE TABLE table_name_21 (stadium VARCHAR2, score VARCHAR2)
| What stadium had the score 1 - 1 dodd 38'? | SELECT stadium FROM table_name_21 WHERE score = "1 - 1 dodd 38'" | SELECT "stadium" FROM "table_name_21" WHERE "1 - 1 dodd 38'" = "score" | 0.068359 |
CREATE TABLE table_13258972_2 (date VARCHAR2, game_site VARCHAR2, opponent VARCHAR2)
| What date did the Seahawks play the Kansas City Chiefs at the Kingdome? | SELECT date FROM table_13258972_2 WHERE game_site = "Kingdome" AND opponent = "Kansas City Chiefs" | SELECT "date" FROM "table_13258972_2" WHERE "Kansas City Chiefs" = "opponent" AND "Kingdome" = "game_site" | 0.103516 |
CREATE TABLE table_78250 ("Year" FLOAT, "Manufacturer" CLOB, "Model" CLOB, "Length ( ft. ) " CLOB, "Fuel or Propulsion" CLOB, "Fleet series" CLOB, "Quantity" FLOAT)
| Name the sum of quantity for before 2011 model slf-230 | SELECT SUM("Quantity") FROM table_78250 WHERE "Year" < '2011' AND "Model" = 'slf-230' | SELECT SUM("Quantity") FROM "table_78250" WHERE "Model" = 'slf-230' AND "Year" < '2011' | 0.084961 |
CREATE TABLE table_75496 ("Record" CLOB, "Team" CLOB, "Season" CLOB, "League" CLOB, "Number" FLOAT)
| What league has a number less than 1? | SELECT "League" FROM table_75496 WHERE "Number" < '1' | SELECT "League" FROM "table_75496" WHERE "Number" < '1' | 0.053711 |
CREATE TABLE table_31130 ("#" FLOAT, "Name" CLOB, "Position" CLOB, "Height" CLOB, "Weight" FLOAT, "Year" CLOB, "Former school" CLOB, "Hometown" CLOB)
| What is the height of Anthony Crater? | SELECT "Height" FROM table_31130 WHERE "Name" = 'Anthony Crater' | SELECT "Height" FROM "table_31130" WHERE "Name" = 'Anthony Crater' | 0.064453 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For all employees who have the letters D or S in their first name, give me the comparison about the sum of salary over the hire_date bin hire_date by weekday, and list total number of salary from low to high order. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(SALARY) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("SALARY") | 0.126953 |
CREATE TABLE table_1214035_1 (league VARCHAR2, open_cup VARCHAR2)
| For which league is the open cup the quarter finals | SELECT league FROM table_1214035_1 WHERE open_cup = "Quarter Finals" | SELECT "league" FROM "table_1214035_1" WHERE "Quarter Finals" = "open_cup" | 0.072266 |
CREATE TABLE table_5526 ("Venue" CLOB, "Home" CLOB, "Guest" CLOB, "Score" CLOB, "Attendance" FLOAT)
| In what venue did FK Crvena Stijena play at home? | SELECT "Venue" FROM table_5526 WHERE "Home" = 'fk crvena stijena' | SELECT "Venue" FROM "table_5526" WHERE "Home" = 'fk crvena stijena' | 0.06543 |
CREATE TABLE table_22904752_1 (directed_by VARCHAR2, no VARCHAR2)
| Who is no. 79 directed by? | SELECT directed_by FROM table_22904752_1 WHERE no = 79 | SELECT "directed_by" FROM "table_22904752_1" WHERE "no" = 79 | 0.058594 |
CREATE TABLE table_name_46 (location VARCHAR2, team VARCHAR2)
| What is the location of South Adelaide? | SELECT location FROM table_name_46 WHERE team = "south adelaide" | SELECT "location" FROM "table_name_46" WHERE "south adelaide" = "team" | 0.068359 |
CREATE TABLE table_6765 ("SANSKRT" CLOB, "CHINESE" CLOB, "VIETNAMESE" CLOB, "JAPANESE" CLOB, "KOREAN" CLOB)
| Which KOREAN has a CHINESE of / sh z p t ? | SELECT "KOREAN" FROM table_6765 WHERE "CHINESE" = '師子菩提 / shīzǐpútí' | SELECT "KOREAN" FROM "table_6765" WHERE "CHINESE" = '師子菩提 / shīzǐpútí' | 0.068359 |
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
| Bar chart of mean age from each city code, order names in desc order. | SELECT city_code, AVG(Age) FROM Student GROUP BY city_code ORDER BY city_code DESC | SELECT "city_code", AVG("Age") FROM "Student" GROUP BY "city_code" ORDER BY "city_code" DESC | 0.089844 |
CREATE TABLE table_name_83 (round NUMBER, pick__number NUMBER)
| What is the highest round of the player with a pick number lower than 34? | SELECT MAX(round) FROM table_name_83 WHERE pick__number > 34 | SELECT MAX("round") FROM "table_name_83" WHERE "pick__number" > 34 | 0.064453 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is maximum age of patients whose gender is m and year of death is less than 2131? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.dod_year < "2131.0" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "2131.0" > "demographic"."dod_year" AND "M" = "demographic"."gender" | 0.12207 |
CREATE TABLE table_50670 ("Character" CLOB, "Code" CLOB, "Name" CLOB, "Version" FLOAT, "Year" FLOAT)
| What is the year that has a name with the Greek small letter sampi? | SELECT SUM("Year") FROM table_50670 WHERE "Name" = 'greek small letter sampi' | SELECT SUM("Year") FROM "table_50670" WHERE "Name" = 'greek small letter sampi' | 0.077148 |
CREATE TABLE table_name_97 (score VARCHAR2, venue VARCHAR2)
| What score has amblecote as the venue? | SELECT score FROM table_name_97 WHERE venue = "amblecote" | SELECT "score" FROM "table_name_97" WHERE "amblecote" = "venue" | 0.061523 |
CREATE TABLE PostTypes (Id NUMBER, Name 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 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 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Top 20 tags by number of posts for specific user. | SELECT TagName, COUNT(*) AS Posts FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.ParentId = PostTags.PostId WHERE Posts.OwnerUserId = @UserId AND Posts.CommunityOwnedDate IS NULL GROUP BY TagName ORDER BY Posts DESC LIMIT 20 | SELECT "TagName", COUNT(*) AS "Posts" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."ParentId" AND "Posts"."CommunityOwnedDate" IS NULL AND "Posts"."OwnerUserId" = @UserId GROUP BY "TagName" ORDER BY "Posts" DESC FETCH FIRST 20 ROWS ONLY | 0.293945 |
CREATE TABLE table_39335 ("Rank" FLOAT, "Country/Territory" CLOB, "Miss World" FLOAT, "1st Runner-up" FLOAT, "2nd Runner-up" FLOAT, "3rd Runner-up" FLOAT, "4th Runner-up" FLOAT, "5th Runner-up" FLOAT, "6th Runner-up" FLOAT, "Semifinalists" FLOAT, "Total" FLOAT)
| Country/Territory of india, and a 4th Runner-up smaller than 1 has which lowest rank? | SELECT MIN("Rank") FROM table_39335 WHERE "Country/Territory" = 'india' AND "4th Runner-up" < '1' | SELECT MIN("Rank") FROM "table_39335" WHERE "4th Runner-up" < '1' AND "Country/Territory" = 'india' | 0.09668 |
CREATE TABLE table_203_410 (id NUMBER, "game" NUMBER, "date" CLOB, "opponent" CLOB, "location" CLOB, "score" CLOB, "attendance" NUMBER, "record" CLOB)
| what was the number of people who attended game number six ? | SELECT "attendance" FROM table_203_410 WHERE "game" = 6 | SELECT "attendance" FROM "table_203_410" WHERE "game" = 6 | 0.055664 |
CREATE TABLE table_54451 ("Pick" FLOAT, "Player" CLOB, "Country of origin*" CLOB, "PBA team" CLOB, "College" CLOB)
| What PBA team is the player from Ateneo college and a pick of 17? | SELECT "PBA team" FROM table_54451 WHERE "College" = 'ateneo' AND "Pick" = '17' | SELECT "PBA team" FROM "table_54451" WHERE "College" = 'ateneo' AND "Pick" = '17' | 0.079102 |
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 month (month_number NUMBER, month_name CLOB)
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 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 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 flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
| i would like a flight from KANSAS CITY to ST. PAUL departing at 1600 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. PAUL' AND flight.departure_time = 1600 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'KANSAS CITY' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'KANSAS CITY' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" = 1600 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ST. PAUL' | 0.523438 |
CREATE TABLE table_269920_3 (l2_cache__mb_ VARCHAR2, model VARCHAR2)
| How many different L2 cache numbers are there for the 7130M model? | SELECT COUNT(l2_cache__mb_) FROM table_269920_3 WHERE model = "7130M" | SELECT COUNT("l2_cache__mb_") FROM "table_269920_3" WHERE "7130M" = "model" | 0.073242 |
CREATE TABLE table_name_73 (team VARCHAR2, kitmaker VARCHAR2, shirt_sponsor VARCHAR2)
| Which team uses the kitmaker Saller and has Krombacher as their shirt sponsor? | SELECT team FROM table_name_73 WHERE kitmaker = "saller" AND shirt_sponsor = "krombacher" | SELECT "team" FROM "table_name_73" WHERE "kitmaker" = "saller" AND "krombacher" = "shirt_sponsor" | 0.094727 |
CREATE TABLE table_name_71 (year_s__won VARCHAR2, total VARCHAR2)
| Which Year(s) won has a Total of 289? | SELECT year_s__won FROM table_name_71 WHERE total = 289 | SELECT "year_s__won" FROM "table_name_71" WHERE "total" = 289 | 0.05957 |
CREATE TABLE table_3863 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What was the other team in game 11? | SELECT "Team" FROM table_3863 WHERE "Game" = '11' | SELECT "Team" FROM "table_3863" WHERE "Game" = '11' | 0.049805 |
CREATE TABLE table_12715 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is Charlie Wi's To par? | SELECT "To par" FROM table_12715 WHERE "Player" = 'charlie wi' | SELECT "To par" FROM "table_12715" WHERE "Player" = 'charlie wi' | 0.0625 |
CREATE TABLE table_name_67 (date VARCHAR2, catalogue VARCHAR2)
| What was Catalogue tojp 60121-22's Date? | SELECT date FROM table_name_67 WHERE catalogue = "tojp 60121-22" | SELECT "date" FROM "table_name_67" WHERE "catalogue" = "tojp 60121-22" | 0.068359 |
Subsets and Splits