schema
stringlengths 28
5.65k
| question
stringlengths 0
990
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
9.17k
| weight
float64 0
8.95
|
|---|---|---|---|---|
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| on the last hospital visit, has patient 27964 been admitted to an er? | SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 27964 AND admissions.admission_location = 'emergency room admit' AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1 | SELECT COUNT(*) > 0 FROM "admissions" WHERE "admissions"."admission_location" = 'emergency room admit' AND "admissions"."subject_id" = 27964 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1 | 0.233398 |
CREATE TABLE table_17118657_10 (date VARCHAR, high_assists VARCHAR)
| On which date is high assists Dupree (6)? | SELECT date FROM table_17118657_10 WHERE high_assists = "Dupree (6)" | SELECT "date" FROM "table_17118657_10" WHERE "Dupree (6)" = "high_assists" | 0.072266 |
CREATE TABLE table_6437 ("Week" TEXT, "Division" TEXT, "Position" TEXT, "Player" TEXT, "School" TEXT)
| on week of february 12, in the west division, what is the position? | SELECT "Position" FROM table_6437 WHERE "Division" = 'west' AND "Week" = 'february 12' | SELECT "Position" FROM "table_6437" WHERE "Division" = 'west' AND "Week" = 'february 12' | 0.085938 |
CREATE TABLE table_2135222_2 (traditional VARCHAR, density VARCHAR)
| What is the traditional with density of 820? | SELECT traditional FROM table_2135222_2 WHERE density = 820 | SELECT "traditional" FROM "table_2135222_2" WHERE "density" = 820 | 0.063477 |
CREATE TABLE table_203_426 (id DECIMAL, "year" DECIMAL, "title" TEXT, "peak chart positions\ aus" DECIMAL, "peak chart positions\ nz" DECIMAL, "peak chart positions\ uk" DECIMAL, "album" TEXT)
| how many single only releases did the triffids release ? | SELECT COUNT(*) FROM table_203_426 WHERE "album" = 'single-only release' | SELECT COUNT(*) FROM "table_203_426" WHERE "album" = 'single-only release' | 0.072266 |
CREATE TABLE aircraft (aid DECIMAL, name VARCHAR, distance DECIMAL)
CREATE TABLE employee (eid DECIMAL, name VARCHAR, salary DECIMAL)
CREATE TABLE certificate (eid DECIMAL, aid DECIMAL)
CREATE TABLE flight (flno DECIMAL, origin VARCHAR, destination VARCHAR, distance DECIMAL, departure_date DATE, arrival_date DATE, price DECIMAL, aid DECIMAL)
| Show aircraft names and number of flights for each aircraft, and rank from high to low by the y-axis. | SELECT name, COUNT(*) FROM flight AS T1 JOIN aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid ORDER BY COUNT(*) DESC | SELECT "name", COUNT(*) FROM "flight" AS "T1" JOIN "aircraft" AS "T2" ON "T1"."aid" = "T2"."aid" GROUP BY "T1"."aid" ORDER BY COUNT(*) DESC NULLS LAST | 0.146484 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| Provide the number of patients whose primary disease is newborn and lab test result is delta. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "NEWBORN" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."diagnosis" | 0.19043 |
CREATE TABLE table_20698 ("Year" FLOAT, "Lansing ( LAN ) " TEXT, "Detroit ( DTW ) " TEXT, "Grand Rapids ( GRR ) " TEXT, "Flint ( FNT ) " TEXT, "Kalamazoo ( AZO ) " TEXT, "Saginaw ( MBS ) " TEXT)
| What is the fare to Kalamazoo during the time frame when Saginaw's was $481.39? | SELECT "Kalamazoo (AZO)" FROM table_20698 WHERE "Saginaw (MBS)" = '$481.39' | SELECT "Kalamazoo (AZO)" FROM "table_20698" WHERE "Saginaw (MBS)" = '$481.39' | 0.075195 |
CREATE TABLE products (product_id DECIMAL, product_type_code TEXT, product_name TEXT, product_price DECIMAL)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL)
CREATE TABLE department_store_chain (dept_store_chain_id DECIMAL, dept_store_chain_name TEXT)
CREATE TABLE addresses (address_id DECIMAL, address_details TEXT)
CREATE TABLE customers (customer_id DECIMAL, payment_method_code TEXT, customer_code TEXT, customer_name TEXT, customer_address TEXT, customer_phone TEXT, customer_email TEXT)
CREATE TABLE product_suppliers (product_id DECIMAL, supplier_id DECIMAL, date_supplied_from TIME, date_supplied_to TIME, total_amount_purchased TEXT, total_value_purchased DECIMAL)
CREATE TABLE customer_addresses (customer_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE customer_orders (order_id DECIMAL, customer_id DECIMAL, order_status_code TEXT, order_date TIME)
CREATE TABLE departments (department_id DECIMAL, dept_store_id DECIMAL, department_name TEXT)
CREATE TABLE staff_department_assignments (staff_id DECIMAL, department_id DECIMAL, date_assigned_from TIME, job_title_code TEXT, date_assigned_to TIME)
CREATE TABLE department_stores (dept_store_id DECIMAL, dept_store_chain_id DECIMAL, store_name TEXT, store_address TEXT, store_phone TEXT, store_email TEXT)
CREATE TABLE supplier_addresses (supplier_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE staff (staff_id DECIMAL, staff_gender TEXT, staff_name TEXT)
CREATE TABLE suppliers (supplier_id DECIMAL, supplier_name TEXT, supplier_phone TEXT)
| Return the distinct name of customers whose order status is Pending, in the order of customer id. | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id | SELECT DISTINCT "T1"."customer_name" FROM "customers" AS "T1" JOIN "customer_orders" AS "T2" ON "Pending" = "T2"."order_status_code" AND "T1"."customer_id" = "T2"."customer_id" ORDER BY "T2"."customer_id" NULLS FIRST | 0.210938 |
CREATE TABLE table_name_70 (jockey VARCHAR, year VARCHAR, owner VARCHAR)
| What jockey rode for Michael House before 2012 | SELECT jockey FROM table_name_70 WHERE year < 2012 AND owner = "michael house" | SELECT "jockey" FROM "table_name_70" WHERE "michael house" = "owner" AND "year" < 2012 | 0.083984 |
CREATE TABLE course (crs_code TEXT, dept_code TEXT, crs_description TEXT, crs_credit DECIMAL)
CREATE TABLE employee (emp_num DECIMAL, emp_lname TEXT, emp_fname TEXT, emp_initial TEXT, emp_jobcode TEXT, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE professor (emp_num DECIMAL, dept_code TEXT, prof_office TEXT, prof_extension TEXT, prof_high_degree TEXT)
CREATE TABLE class (class_code TEXT, crs_code TEXT, class_section TEXT, class_time TEXT, class_room TEXT, prof_num DECIMAL)
CREATE TABLE student (stu_num DECIMAL, stu_lname TEXT, stu_fname TEXT, stu_init TEXT, stu_dob TIME, stu_hrs DECIMAL, stu_class TEXT, stu_gpa DECIMAL, stu_transfer DECIMAL, dept_code TEXT, stu_phone TEXT, prof_num DECIMAL)
CREATE TABLE enroll (class_code TEXT, stu_num DECIMAL, enroll_grade TEXT)
CREATE TABLE department (dept_code TEXT, dept_name TEXT, school_code TEXT, emp_num DECIMAL, dept_address TEXT, dept_extension TEXT)
| How many departments does the college has? | SELECT COUNT(DISTINCT dept_name) FROM department | SELECT COUNT(DISTINCT "dept_name") FROM "department" | 0.050781 |
CREATE TABLE problem_category_codes (problem_category_code TEXT, problem_category_description TEXT)
CREATE TABLE problems (problem_id DECIMAL, product_id DECIMAL, closure_authorised_by_staff_id DECIMAL, reported_by_staff_id DECIMAL, date_problem_reported TIME, date_problem_closed TIME, problem_description TEXT, other_problem_details TEXT)
CREATE TABLE problem_status_codes (problem_status_code TEXT, problem_status_description TEXT)
CREATE TABLE problem_log (problem_log_id DECIMAL, assigned_to_staff_id DECIMAL, problem_id DECIMAL, problem_category_code TEXT, problem_status_code TEXT, log_entry_date TIME, log_entry_description TEXT, log_entry_fix TEXT, other_log_details TEXT)
CREATE TABLE staff (staff_id DECIMAL, staff_first_name TEXT, staff_last_name TEXT, other_staff_details TEXT)
CREATE TABLE product (product_id DECIMAL, product_name TEXT, product_details TEXT)
| What are the ids of the problems reported before the date of any problem reported by Lysanne Turcotte? | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < (SELECT MIN(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "Turcotte") | SELECT "T1"."problem_id" FROM "problems" AS "T1" JOIN "staff" AS "T2" ON "T1"."reported_by_staff_id" = "T2"."staff_id" WHERE "date_problem_reported" < (SELECT MIN("date_problem_reported") FROM "problems" AS "T3" JOIN "staff" AS "T4" ON "Lysanne" = "T4"."staff_first_name" AND "T3"."reported_by_staff_id" = "T4"."staff_id" AND "T4"."staff_last_name" = "Turcotte") | 0.353516 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
| give me the flights on tuesday from LOS ANGELES to PITTSBURGH | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'LOS ANGELES' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'LOS ANGELES' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' | 0.711914 |
CREATE TABLE table_name_41 (finished VARCHAR, entered VARCHAR, exited VARCHAR)
| What position did the celebrity finish that entered on day 1 and exited on day 15? | SELECT finished FROM table_name_41 WHERE entered = "day 1" AND exited = "day 15" | SELECT "finished" FROM "table_name_41" WHERE "day 1" = "entered" AND "day 15" = "exited" | 0.085938 |
CREATE TABLE table_37523 ("Camera" TEXT, "Sensor resolution" TEXT, "Sensor" TEXT, "Output" TEXT, "CPU usage" TEXT, "IR LEDs" TEXT)
| What was the output with no IR LEDs? | SELECT "Output" FROM table_37523 WHERE "IR LEDs" = 'no' | SELECT "Output" FROM "table_37523" WHERE "IR LEDs" = 'no' | 0.055664 |
CREATE TABLE table_name_12 (round INT, nhl_team VARCHAR, player VARCHAR)
| Which Round has a NHL team of edmonton oilers and a Player of vyacheslav trukhno? | SELECT AVG(round) FROM table_name_12 WHERE nhl_team = "edmonton oilers" AND player = "vyacheslav trukhno" | SELECT AVG("round") FROM "table_name_12" WHERE "edmonton oilers" = "nhl_team" AND "player" = "vyacheslav trukhno" | 0.110352 |
CREATE TABLE table_200_32 (id DECIMAL, "year" DECIMAL, "w" DECIMAL, "l" DECIMAL, "t" DECIMAL, "finish" TEXT, "coach" TEXT)
| how many years did earl ball coach the muncie flyers ? | SELECT COUNT("year") FROM table_200_32 WHERE "coach" = 'earl ball' | SELECT COUNT("year") FROM "table_200_32" WHERE "coach" = 'earl ball' | 0.066406 |
CREATE TABLE table_name_66 (young_rider_classification VARCHAR, mountains_classification VARCHAR, stage VARCHAR)
| What is the young rider classification for jesper worre and stage 3 | SELECT young_rider_classification FROM table_name_66 WHERE mountains_classification = "jesper worre" AND stage = "3" | SELECT "young_rider_classification" FROM "table_name_66" WHERE "3" = "stage" AND "jesper worre" = "mountains_classification" | 0.121094 |
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Reviewer (rID INT, name TEXT)
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
| Ignore movies whose director is NULL For each director, what are the titles and the highest rating among all of their movies they reviewed? Draw the result by a bar chart, and show stars in descending order. | SELECT title, MAX(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE director <> "null" GROUP BY title ORDER BY MAX(T1.stars) DESC | SELECT "title", MAX("T1"."stars") FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" WHERE "director" <> "null" GROUP BY "title" ORDER BY MAX("T1"."stars") DESC NULLS LAST | 0.185547 |
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
| Select tag name, tag synonyms, count, post excerpt and post wiki body of stack-overflow tags.. | SELECT DISTINCT t.Id, t.TagName, t.Count, e.Body AS "Excerpt" FROM Tags AS t LEFT JOIN Posts AS e ON t.ExcerptPostId = e.Id GROUP BY t.Id, t.TagName, t.Count, e.Body ORDER BY t.Count DESC | SELECT DISTINCT "t"."Id", "t"."TagName", "t"."Count", "e"."Body" AS "Excerpt" FROM "Tags" AS "t" LEFT JOIN "Posts" AS "e" ON "e"."Id" = "t"."ExcerptPostId" GROUP BY "t"."Id", "t"."TagName", "t"."Count", "e"."Body" ORDER BY "t"."Count" DESC NULLS LAST | 0.244141 |
CREATE TABLE table_71201 ("Year" FLOAT, "Team" TEXT, "Co-Drivers" TEXT, "Class" TEXT, "Pos." TEXT, "Class Pos." TEXT)
| What is the most recent year that Gulf Racing Middle East won? | SELECT MAX("Year") FROM table_71201 WHERE "Team" = 'gulf racing middle east' | SELECT MAX("Year") FROM "table_71201" WHERE "Team" = 'gulf racing middle east' | 0.076172 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For those employees who was hired before 2002-06-21, give me the comparison about the average of manager_id over the hire_date bin hire_date by time by a bar chart, and order in descending by the y-axis. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(MANAGER_ID) DESC | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("MANAGER_ID") DESC NULLS LAST | 0.126953 |
CREATE TABLE table_name_42 (total INT, rank VARCHAR, silver VARCHAR)
| Which country has a rand of 2 and a silver less than 6? | SELECT MAX(total) FROM table_name_42 WHERE rank = "2" AND silver < 6 | SELECT MAX("total") FROM "table_name_42" WHERE "2" = "rank" AND "silver" < 6 | 0.074219 |
CREATE TABLE schedule (Cinema_ID INT, Film_ID INT, Date TEXT, Show_times_per_day INT, Price FLOAT)
CREATE TABLE film (Film_ID INT, Rank_in_series INT, Number_in_season INT, Title TEXT, Directed_by TEXT, Original_air_date TEXT, Production_code TEXT)
CREATE TABLE cinema (Cinema_ID INT, Name TEXT, Openning_year INT, Capacity INT, Location TEXT)
| Bar graph to show the number of directed by from different directed by, show Directed_by in asc order. | SELECT Directed_by, COUNT(Directed_by) FROM film GROUP BY Directed_by ORDER BY Directed_by | SELECT "Directed_by", COUNT("Directed_by") FROM "film" GROUP BY "Directed_by" ORDER BY "Directed_by" NULLS FIRST | 0.109375 |
CREATE TABLE table_52473 ("Productions" TEXT, "Rose" TEXT, "Louise" TEXT, "Dainty June" TEXT, "Herbie" TEXT, "Director" TEXT)
| Who was rose in the 1975 Broadway Revival? | SELECT "Rose" FROM table_52473 WHERE "Productions" = '1975 broadway revival' | SELECT "Rose" FROM "table_52473" WHERE "Productions" = '1975 broadway revival' | 0.076172 |
CREATE TABLE table_27388 ("Language" TEXT, "Quillacollo Municipality" FLOAT, "Sipe Sipe Municipality" FLOAT, "Tiquipaya Municipality" FLOAT, "Vinto Municipality" FLOAT, "Colcapirhua Municipality" FLOAT)
| If the language is Native and Spanish, what is the Vinto Municipality minimum? | SELECT MIN("Vinto Municipality") FROM table_27388 WHERE "Language" = 'Native and Spanish' | SELECT MIN("Vinto Municipality") FROM "table_27388" WHERE "Language" = 'Native and Spanish' | 0.088867 |
CREATE TABLE team (Team_id INT, Name TEXT)
CREATE TABLE player (Player_ID INT, Player TEXT, Years_Played TEXT, Total_WL TEXT, Singles_WL TEXT, Doubles_WL TEXT, Team INT)
CREATE TABLE match_season (Season FLOAT, Player TEXT, Position TEXT, Country INT, Team INT, Draft_Pick_Number INT, Draft_Class TEXT, College TEXT)
CREATE TABLE country (Country_id INT, Country_name TEXT, Capital TEXT, Official_native_language TEXT)
| Draw a pie chart for how many players played each position? | SELECT Position, COUNT(*) FROM match_season GROUP BY Position | SELECT "Position", COUNT(*) FROM "match_season" GROUP BY "Position" | 0.06543 |
CREATE TABLE table_40996 ("Date" TEXT, "Opponent" TEXT, "Location" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What was the attendance for the game at groves stadium winston-salem, nc with a result of L 0-14? | SELECT COUNT("Attendance") FROM table_40996 WHERE "Location" = 'groves stadium • winston-salem, nc' AND "Result" = 'l 0-14' | SELECT COUNT("Attendance") FROM "table_40996" WHERE "Location" = 'groves stadium • winston-salem, nc' AND "Result" = 'l 0-14' | 0.12207 |
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
| show me the cheapest flights from BALTIMORE to DALLAS | 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, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) 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 = 'BALTIMORE' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'DALLAS' 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 | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BALTIMORE' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'DALLAS' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.469727 |
CREATE TABLE table_47187 ("Name" TEXT, "Year Began" TEXT, "s Registered user" TEXT, "Updated in past 30 days" TEXT, "Registration" TEXT, "Ability to syndicate off-site feeds" TEXT, "Userpics Free" TEXT, "Userpics Paid" TEXT, "Monthly Cost for Paid Account" TEXT, "Yearly Cost for Paid Account" TEXT, "Permanent Account" TEXT)
| What is the S Registered User, when Userpics Free is 6 [free] or 15 [plus]? | SELECT "s Registered user" FROM table_47187 WHERE "Userpics Free" = '6 [free] or 15 [plus]' | SELECT "s Registered user" FROM "table_47187" WHERE "Userpics Free" = '6 [free] or 15 [plus]' | 0.09082 |
CREATE TABLE table_dev_36 ("id" INT, "gender" TEXT, "prediabetes" BOOLEAN, "leukopenia" INT, "hemoglobin_a1c_hba1c" FLOAT, "cd4_count" INT, "platelets" INT, "hematocrit_hct" FLOAT, "fasting_triglycerides" INT, "hyperlipidemia" BOOLEAN, "lymphopenia" INT, "fasting_ldl_cholesterol" INT, "impaired_fasting_glucose" BOOLEAN, "baseline_hemoglobin_hgb" FLOAT, "fasting_glucose" INT, "NOUSE" FLOAT)
| hyperlipidemia ( fasting ldl cholesterol > 130 mg / dl, treated or untreated; and / or fasting triglycerides > 200 mg / dl ) . | SELECT * FROM table_dev_36 WHERE hyperlipidemia = 1 OR fasting_ldl_cholesterol > 130 OR fasting_triglycerides > 200 | SELECT * FROM "table_dev_36" WHERE "fasting_ldl_cholesterol" > 130 OR "fasting_triglycerides" > 200 OR "hyperlipidemia" = 1 | 0.120117 |
CREATE TABLE table_name_77 (points VARCHAR, time_retired VARCHAR)
| How many points are associated with a Time/Retired of +10.131 secs? | SELECT COUNT(points) FROM table_name_77 WHERE time_retired = "+10.131 secs" | SELECT COUNT("points") FROM "table_name_77" WHERE "+10.131 secs" = "time_retired" | 0.079102 |
CREATE TABLE table_20319 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by:" TEXT, "Written by:" TEXT, "Original air date" TEXT)
| How many episodes aired on february 13, 1954? | SELECT COUNT("Title") FROM table_20319 WHERE "Original air date" = 'February 13, 1954' | SELECT COUNT("Title") FROM "table_20319" WHERE "Original air date" = 'February 13, 1954' | 0.085938 |
CREATE TABLE table_13812785_5 (high_rebounds VARCHAR, date VARCHAR)
| Who was responsible and what was the number for the high rebounds on December 22? | SELECT high_rebounds FROM table_13812785_5 WHERE date = "December 22" | SELECT "high_rebounds" FROM "table_13812785_5" WHERE "December 22" = "date" | 0.073242 |
CREATE TABLE table_name_21 (time VARCHAR, nationality VARCHAR, heat VARCHAR)
| What is Russia's time with a heat higher than 3? | SELECT time FROM table_name_21 WHERE nationality = "russia" AND heat > 3 | SELECT "time" FROM "table_name_21" WHERE "heat" > 3 AND "nationality" = "russia" | 0.078125 |
CREATE TABLE table_name_29 (pos VARCHAR, driver VARCHAR)
| What is Driver Brendan Gaughan's Pos? | SELECT pos FROM table_name_29 WHERE driver = "brendan gaughan" | SELECT "pos" FROM "table_name_29" WHERE "brendan gaughan" = "driver" | 0.066406 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| provide the number of patients whose insurance is government and diagnoses long title is tietze's disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Government" AND diagnoses.long_title = "Tietze's disease" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Tietze's disease" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.227539 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
| could you find me a flight from BOSTON to SAN FRANCISCO that stops in DENVER | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DENVER' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" AS "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" AS "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DENVER' | 0.795898 |
CREATE TABLE table_21091162_1 (date VARCHAR, opponent VARCHAR)
| How many dates have boston college as the opponent? | SELECT COUNT(date) FROM table_21091162_1 WHERE opponent = "Boston College" | SELECT COUNT("date") FROM "table_21091162_1" WHERE "Boston College" = "opponent" | 0.078125 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For all employees who have the letters D or S in their first name, show me about the change of manager_id over hire_date in a line chart, sort by the X-axis in ascending. | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" NULLS FIRST | 0.135742 |
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
| For those dates that have the 5 highest cloud cover rates, please bin the date into Year interval and compute their total cloud cover, and order in desc by the total number. | 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 NULLS LAST | 0.089844 |
CREATE TABLE table_69218 ("Goalkeeper" TEXT, "Goals" FLOAT, "Matches" FLOAT, "Average" FLOAT, "Team" TEXT)
| What is the highest average of goals less than 45 for team Real Sociedad? | SELECT MAX("Average") FROM table_69218 WHERE "Goals" < '45' AND "Team" = 'real sociedad' | SELECT MAX("Average") FROM "table_69218" WHERE "Goals" < '45' AND "Team" = 'real sociedad' | 0.087891 |
CREATE TABLE jobs (job_id TEXT, job_title TEXT, min_salary DECIMAL, max_salary DECIMAL)
CREATE TABLE locations (location_id DECIMAL, street_address TEXT, postal_code TEXT, city TEXT, state_province TEXT, country_id TEXT)
CREATE TABLE departments (department_id DECIMAL, department_name TEXT, manager_id DECIMAL, location_id DECIMAL)
CREATE TABLE countries (country_id TEXT, country_name TEXT, region_id DECIMAL)
CREATE TABLE job_history (employee_id DECIMAL, start_date TIME, end_date TIME, job_id TEXT, department_id DECIMAL)
CREATE TABLE employees (employee_id DECIMAL, first_name TEXT, last_name TEXT, email TEXT, phone_number TEXT, hire_date TIME, job_id TEXT, salary DECIMAL, commission_pct DECIMAL, manager_id DECIMAL, department_id DECIMAL)
CREATE TABLE regions (region_id DECIMAL, region_name TEXT)
| What are the full name, hire data, salary and department id for employees without the letter M in their first name, ordered by ascending department id? | SELECT first_name, last_name, hire_date, salary, department_id FROM employees WHERE NOT first_name LIKE '%M%' ORDER BY department_id | SELECT "first_name", "last_name", "hire_date", "salary", "department_id" FROM "employees" WHERE NOT "first_name" LIKE '%M%' ORDER BY "department_id" NULLS FIRST | 0.15625 |
CREATE TABLE table_203_695 (id DECIMAL, "draw" DECIMAL, "artist" TEXT, "song" TEXT, "points" DECIMAL, "place" TEXT)
| in the irish national final for the eurovision song contest in 1990 , the artist singing which song received third place ? | SELECT "artist" FROM table_203_695 WHERE "place" = 3 | SELECT "artist" FROM "table_203_695" WHERE "place" = 3 | 0.052734 |
CREATE TABLE table_name_58 (location VARCHAR, game VARCHAR, record VARCHAR)
| Which Location has a Game greater than 27 and a Record of 18-10? | SELECT location FROM table_name_58 WHERE game > 27 AND record = "18-10" | SELECT "location" FROM "table_name_58" WHERE "18-10" = "record" AND "game" > 27 | 0.077148 |
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
| Jon Skeet and Eric Lippers answering the same question. | SELECT q.Id AS "post_link" FROM Posts AS q JOIN Posts AS ja ON ja.OwnerUserId = 1001643 AND ja.ParentId = q.Id JOIN Posts AS ea ON ea.OwnerUserId = 487339 AND ea.ParentId = q.Id | SELECT "q"."Id" AS "post_link" FROM "Posts" AS "q" JOIN "Posts" AS "ea" ON "ea"."OwnerUserId" = 487339 AND "ea"."ParentId" = "q"."Id" JOIN "Posts" AS "ja" ON "ja"."OwnerUserId" = 1001643 AND "ja"."ParentId" = "q"."Id" | 0.211914 |
CREATE TABLE table_68220 ("Name" TEXT, "Entered office" TEXT, "Left office" TEXT, "Party" TEXT, "First Minister" TEXT)
| What is the name of the minister that left office on 14 November 2006? | SELECT "Name" FROM table_68220 WHERE "Left office" = '14 november 2006' | SELECT "Name" FROM "table_68220" WHERE "Left office" = '14 november 2006' | 0.071289 |
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
| Show me about the distribution of meter_300 and ID in a bar chart, I want to rank by the names from low to high. | SELECT meter_300, ID FROM swimmer ORDER BY meter_300 | SELECT "meter_300", "ID" FROM "swimmer" ORDER BY "meter_300" NULLS FIRST | 0.070313 |
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Participates_in (stuid INT, actid INT)
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
| Bar chart of count rank by each rank | SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank | SELECT "Rank", COUNT("Rank") FROM "Faculty" GROUP BY "Rank" | 0.057617 |
CREATE TABLE table_203_141 (id DECIMAL, "sr. no." DECIMAL, "name" TEXT, "from" TEXT, "till" TEXT, "occupation" TEXT)
| what is the number of directors that held the position of fias ? | SELECT COUNT("name") FROM table_203_141 WHERE "occupation" = 'ias' | SELECT COUNT("name") FROM "table_203_141" WHERE "occupation" = 'ias' | 0.066406 |
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
| when was the first hospital admission time of patient 81783 that had been admitted on the clinic referral/premature? | SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 81783 AND admissions.admission_location = 'clinic referral/premature' ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."admittime" FROM "admissions" WHERE "admissions"."admission_location" = 'clinic referral/premature' AND "admissions"."subject_id" = 81783 ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1 | 0.206055 |
CREATE TABLE table_2602958_5 (writer_s_ VARCHAR, _number VARCHAR)
| Who wrote the movie positioned at 8 on the list? | SELECT writer_s_ FROM table_2602958_5 WHERE _number = 8 | SELECT "writer_s_" FROM "table_2602958_5" WHERE "_number" = 8 | 0.05957 |
CREATE TABLE table_40715 ("Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
| What is Package/Option, when Television Service is Sky Inside? | SELECT "Package/Option" FROM table_40715 WHERE "Television service" = 'sky inside' | SELECT "Package/Option" FROM "table_40715" WHERE "Television service" = 'sky inside' | 0.082031 |
CREATE TABLE cinema (Cinema_ID INT, Name TEXT, Openning_year INT, Capacity INT, Location TEXT)
CREATE TABLE film (Film_ID INT, Rank_in_series INT, Number_in_season INT, Title TEXT, Directed_by TEXT, Original_air_date TEXT, Production_code TEXT)
CREATE TABLE schedule (Cinema_ID INT, Film_ID INT, Date TEXT, Show_times_per_day INT, Price FLOAT)
| Show how many cinemas open for each year in a line chart, and could you rank X from high to low order? | SELECT Openning_year, COUNT(Openning_year) FROM cinema ORDER BY Openning_year DESC | SELECT "Openning_year", COUNT("Openning_year") FROM "cinema" ORDER BY "Openning_year" DESC NULLS LAST | 0.098633 |
CREATE TABLE table_name_98 (builder VARCHAR, name VARCHAR)
| Who was the builder for the USS cambridge? | SELECT builder FROM table_name_98 WHERE name = "uss cambridge" | SELECT "builder" FROM "table_name_98" WHERE "name" = "uss cambridge" | 0.066406 |
CREATE TABLE table_name_75 (top_10 VARCHAR, top_25 VARCHAR, top_5 VARCHAR)
| Name the total number of top 10 with top 25 less than 2 and top 5 more than 0 | SELECT COUNT(top_10) FROM table_name_75 WHERE top_25 < 2 AND top_5 > 0 | SELECT COUNT("top_10") FROM "table_name_75" WHERE "top_25" < 2 AND "top_5" > 0 | 0.076172 |
CREATE TABLE table_66630 ("Position" FLOAT, "Name" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points" FLOAT)
| How much Position has a Lost of 8, and a Played larger than 14? | SELECT SUM("Position") FROM table_66630 WHERE "Lost" = '8' AND "Played" > '14' | SELECT SUM("Position") FROM "table_66630" WHERE "Lost" = '8' AND "Played" > '14' | 0.078125 |
CREATE TABLE table_204_828 (id DECIMAL, "whitworth size ( in ) " DECIMAL, "core diameter ( in ) " DECIMAL, "threads per inch" DECIMAL, "pitch ( in ) " DECIMAL, "tapping drill size" TEXT)
| what is the core diameter of the first 1/8 whitworth size -lrb- in -rrb- ? | SELECT "core diameter (in)" FROM table_204_828 WHERE "whitworth size (in)" = '1/8' | SELECT "core diameter (in)" FROM "table_204_828" WHERE "whitworth size (in)" = '1/8' | 0.082031 |
CREATE TABLE table_35476 ("Year" FLOAT, "Date" TEXT, "Venue" TEXT, "Champion" TEXT, "Country" TEXT, "Score" FLOAT, "To par" TEXT, "Margin of victory" TEXT, "Purse ( $ ) " FLOAT, "Winner's share ( $ ) " FLOAT)
| What was the purse when Sherri Steinhauer was champion at Woburn Golf and Country Club? | SELECT COUNT("Purse ( $ )") FROM table_35476 WHERE "Champion" = 'sherri steinhauer' AND "Venue" = 'woburn golf and country club' | SELECT COUNT("Purse ( $ )") FROM "table_35476" WHERE "Champion" = 'sherri steinhauer' AND "Venue" = 'woburn golf and country club' | 0.126953 |
CREATE TABLE table_203_569 (id DECIMAL, "designation" TEXT, "classification" TEXT, "constellation" TEXT, "apparent magnitude" DECIMAL)
| what designation comes after the m65 designation ? | SELECT "designation" FROM table_203_569 WHERE id = (SELECT id FROM table_203_569 WHERE "designation" = 'm65') + 1 | SELECT "designation" FROM "table_203_569" WHERE "id" = (SELECT "id" FROM "table_203_569" WHERE "designation" = 'm65') + 1 | 0.118164 |
CREATE TABLE table_49158 ("Skip" TEXT, "Third/Vice skip" TEXT, "Second" TEXT, "Lead" TEXT, "City" TEXT)
| Which Lead has a City of winnipeg, and a Third/Vice skip of kevin park? | SELECT "Lead" FROM table_49158 WHERE "City" = 'winnipeg' AND "Third/Vice skip" = 'kevin park' | SELECT "Lead" FROM "table_49158" WHERE "City" = 'winnipeg' AND "Third/Vice skip" = 'kevin park' | 0.092773 |
CREATE TABLE table_41678 ("1st built" FLOAT, "1913 Class" TEXT, "W.A." TEXT, "No. Built" FLOAT, "Builder" TEXT, "Date" TEXT, "LNER Class" TEXT)
| What LINER class has a W.A. of 0-6-0st with a 2 No. Built? | SELECT "LNER Class" FROM table_41678 WHERE "W.A." = '0-6-0st' AND "No. Built" = '2' | SELECT "LNER Class" FROM "table_41678" WHERE "No. Built" = '2' AND "W.A." = '0-6-0st' | 0.083008 |
CREATE TABLE table_37319 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT)
| What was drawn for llanishen rfc? | SELECT "Drawn" FROM table_37319 WHERE "Club" = 'llanishen rfc' | SELECT "Drawn" FROM "table_37319" WHERE "Club" = 'llanishen rfc' | 0.0625 |
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
| Who instructs computing infrastructure courses ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN area ON course_offering.course_id = area.course_id WHERE area.area LIKE '%computing infrastructure%' | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "area" ON "area"."area" LIKE '%computing infrastructure%' AND "area"."course_id" = "course_offering"."course_id" | 0.357422 |
CREATE TABLE table_204_190 (id DECIMAL, "rank" DECIMAL, "city" TEXT, "county" TEXT, "state" TEXT, "percentage" TEXT)
| which city is ranked last ? | SELECT "city" FROM table_204_190 ORDER BY "rank" DESC LIMIT 1 | SELECT "city" FROM "table_204_190" ORDER BY "rank" DESC NULLS LAST LIMIT 1 | 0.072266 |
CREATE TABLE table_name_58 (nation VARCHAR, bronze VARCHAR, total VARCHAR, silver VARCHAR)
| What nation has a total less than 11, more than 1 silver and less than 1 bronze? | SELECT nation FROM table_name_58 WHERE total < 11 AND silver < 1 AND bronze < 1 | SELECT "nation" FROM "table_name_58" WHERE "bronze" < 1 AND "silver" < 1 AND "total" < 11 | 0.086914 |
CREATE TABLE table_2012 ("Branding" TEXT, "Callsign" TEXT, "Frequency" TEXT, "Power ( kW ) " TEXT, "Location" TEXT)
| Where is the frequency 102.3mhz and 5kw power? | SELECT "Location" FROM table_2012 WHERE "Power (kW)" = '5kW' AND "Frequency" = '102.3MHz' | SELECT "Location" FROM "table_2012" WHERE "Frequency" = '102.3MHz' AND "Power (kW)" = '5kW' | 0.088867 |
CREATE TABLE table_38217 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What is the result of the match in Bangkok? | SELECT "Result" FROM table_38217 WHERE "Venue" = 'bangkok' | SELECT "Result" FROM "table_38217" WHERE "Venue" = 'bangkok' | 0.058594 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is the total number of female patients who had item id 51352? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.itemid = "51352" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51352" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "F" = "demographic"."gender" | 0.183594 |
CREATE TABLE competition_record (competition_id DECIMAL, farm_id DECIMAL, rank DECIMAL)
CREATE TABLE farm (farm_id DECIMAL, year DECIMAL, total_horses DECIMAL, working_horses DECIMAL, total_cattle DECIMAL, oxen DECIMAL, bulls DECIMAL, cows DECIMAL, pigs DECIMAL, sheep_and_goats DECIMAL)
CREATE TABLE farm_competition (competition_id DECIMAL, year DECIMAL, theme TEXT, host_city_id DECIMAL, hosts TEXT)
CREATE TABLE city (city_id DECIMAL, official_name TEXT, status TEXT, area_km_2 DECIMAL, population DECIMAL, census_ranking TEXT)
| Return the maximum and minimum number of cows across all farms. | SELECT MAX(cows), MIN(cows) FROM farm | SELECT MAX("cows"), MIN("cows") FROM "farm" | 0.041992 |
CREATE TABLE station_company (station_id DECIMAL, company_id DECIMAL, rank_of_the_year DECIMAL)
CREATE TABLE gas_station (station_id DECIMAL, open_year DECIMAL, location TEXT, manager_name TEXT, vice_manager_name TEXT, representative_name TEXT)
CREATE TABLE company (company_id DECIMAL, rank DECIMAL, company TEXT, headquarters TEXT, main_industry TEXT, sales_billion DECIMAL, profits_billion DECIMAL, assets_billion DECIMAL, market_value DECIMAL)
| find the location and Representative name of the gas stations owned by the companies with top 3 Asset amounts. | SELECT T3.location, T3.representative_name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id ORDER BY T2.assets_billion DESC LIMIT 3 | SELECT "T3"."location", "T3"."representative_name" FROM "station_company" AS "T1" JOIN "company" AS "T2" ON "T1"."company_id" = "T2"."company_id" JOIN "gas_station" AS "T3" ON "T1"."station_id" = "T3"."station_id" ORDER BY "T2"."assets_billion" DESC NULLS LAST LIMIT 3 | 0.261719 |
CREATE TABLE table_18852984_2 (all_bills_cosponsored VARCHAR, bills_originally_cosponsored VARCHAR)
| How many bill cosponsored during those years where bills originally cosponsored is 113? | SELECT all_bills_cosponsored FROM table_18852984_2 WHERE bills_originally_cosponsored = 113 | SELECT "all_bills_cosponsored" FROM "table_18852984_2" WHERE "bills_originally_cosponsored" = 113 | 0.094727 |
CREATE TABLE table_46957 ("Squad No." FLOAT, "Name" TEXT, "Position" TEXT, "League Apps" TEXT, "League Goals" FLOAT, "FA Cup Apps" TEXT, "FA Cup Goals" FLOAT, "League Cup Apps" TEXT, "League Cup Goals" FLOAT, "Total Apps" TEXT, "Total Goals" FLOAT)
| What is the league goals when the league cup goals is less than 0 and 16 (1) league apps? | SELECT AVG("League Goals") FROM table_46957 WHERE "League Apps" = '16 (1)' AND "League Cup Goals" < '0' | SELECT AVG("League Goals") FROM "table_46957" WHERE "League Apps" = '16 (1)' AND "League Cup Goals" < '0' | 0.102539 |
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| how many days have it been since nystatin ointment was prescribed to patient 93078 for the first time in their current hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', prescriptions.startdate)) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 93078 AND admissions.dischtime IS NULL) AND prescriptions.drug = 'nystatin ointment' ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 93078 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "prescriptions"."startdate")) FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'nystatin ointment' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1 | 0.461914 |
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
| Top AWS contributor Globally. | SELECT Answers.OwnerUserId AS UserId, SUM(Posts.ViewCount) AS Score, YEAR(Posts.CreationDate), MONTH(Posts.CreationDate) FROM Tags JOIN PostTags ON Tags.Id = PostTags.TagId JOIN Posts ON Posts.Id = PostTags.PostId JOIN Posts AS Answers ON Answers.ParentId = Posts.Id WHERE Tags.TagName IN ('aws') AND Answers.OwnerUserId = 3858469 GROUP BY Answers.OwnerUserId, YEAR(Posts.CreationDate), MONTH(Posts.CreationDate) | SELECT "Answers"."OwnerUserId" AS "UserId", SUM("Posts"."ViewCount") AS "Score", YEAR("Posts"."CreationDate"), MONTH("Posts"."CreationDate") FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Posts" AS "Answers" ON "Answers"."OwnerUserId" = 3858469 AND "Answers"."ParentId" = "Posts"."Id" WHERE "Tags"."TagName" IN ('aws') GROUP BY "Answers"."OwnerUserId", YEAR("Posts"."CreationDate"), MONTH("Posts"."CreationDate") | 0.474609 |
CREATE TABLE table_5073 ("Team" TEXT, "Driver" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| what is the highest grid for new zealand? | SELECT MAX("Grid") FROM table_5073 WHERE "Team" = 'new zealand' | SELECT MAX("Grid") FROM "table_5073" WHERE "Team" = 'new zealand' | 0.063477 |
CREATE TABLE university (school_id DECIMAL, school TEXT, location TEXT, founded DECIMAL, affiliation TEXT, enrollment DECIMAL, nickname TEXT, primary_conference TEXT)
CREATE TABLE basketball_match (team_id DECIMAL, school_id DECIMAL, team_name TEXT, acc_regular_season TEXT, acc_percent TEXT, acc_home TEXT, acc_road TEXT, all_games TEXT, all_games_percent DECIMAL, all_home TEXT, all_road TEXT, all_neutral TEXT)
| What is all the information about the basketball match? | SELECT * FROM basketball_match | SELECT * FROM "basketball_match" | 0.03125 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For those employees who was hired before 2002-06-21, visualize a line chart about the change of manager_id over hire_date . | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.080078 |
CREATE TABLE table_76460 ("Place" TEXT, "Code" FLOAT, "Area ( km 2 ) " FLOAT, "Population" FLOAT, "Most spoken language" TEXT)
| What is the place that speaks xhosa, has a population less than 87,585, an area smaller than 1.28 squared kilometers, and a code larger than 27504? | SELECT "Place" FROM table_76460 WHERE "Population" < '87,585' AND "Area (km 2 )" < '1.28' AND "Code" > '27504' AND "Most spoken language" = 'xhosa' | SELECT "Place" FROM "table_76460" WHERE "Area (km 2 )" < '1.28' AND "Code" > '27504' AND "Most spoken language" = 'xhosa' AND "Population" < '87,585' | 0.145508 |
CREATE TABLE table_name_27 (sprint_points VARCHAR, total_points VARCHAR)
| How many sprint points contribute to 2 total points? | SELECT sprint_points FROM table_name_27 WHERE total_points = "2" | SELECT "sprint_points" FROM "table_name_27" WHERE "2" = "total_points" | 0.068359 |
CREATE TABLE table_23875 ("#" TEXT, "Date" TEXT, "at/vs." TEXT, "Opponent" TEXT, "Score" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What was the game #7, at or versus (home or at)? | SELECT "at/vs." FROM table_23875 WHERE "#" = '7' | SELECT "at/vs." FROM "table_23875" WHERE "#" = '7' | 0.048828 |
CREATE TABLE table_name_1 (player VARCHAR, school_club_team VARCHAR, nationality VARCHAR, position VARCHAR)
| Which Player has a Nationality of united states, a Position of forward, and a School/Club Team of notre dame? | SELECT player FROM table_name_1 WHERE nationality = "united states" AND position = "forward" AND school_club_team = "notre dame" | SELECT "player" FROM "table_name_1" WHERE "forward" = "position" AND "nationality" = "united states" AND "notre dame" = "school_club_team" | 0.134766 |
CREATE TABLE table_name_86 (home_team VARCHAR, tie_no VARCHAR)
| What home team had 2 ties? | SELECT home_team FROM table_name_86 WHERE tie_no = "2" | SELECT "home_team" FROM "table_name_86" WHERE "2" = "tie_no" | 0.058594 |
CREATE TABLE table_37713 ("Score" TEXT, "Opposition" TEXT, "Venue" TEXT, "City" TEXT, "Year" FLOAT)
| What was the score for 1911? | SELECT "Score" FROM table_37713 WHERE "Year" = '1911' | SELECT "Score" FROM "table_37713" WHERE "Year" = '1911' | 0.053711 |
CREATE TABLE table_name_8 (team_1 VARCHAR, team_2 VARCHAR)
| Tell me the team 1 for team 2 being civitavecchiese (latium a) | SELECT team_1 FROM table_name_8 WHERE team_2 = "civitavecchiese (latium a)" | SELECT "team_1" FROM "table_name_8" WHERE "civitavecchiese (latium a)" = "team_2" | 0.079102 |
CREATE TABLE songs (songid VARCHAR)
CREATE TABLE instruments (songid VARCHAR)
| How many instruments does the song 'Badlands' use? | SELECT COUNT(DISTINCT instrument) FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Badlands" | SELECT COUNT(DISTINCT "instrument") FROM "instruments" AS "T1" JOIN "songs" AS "T2" ON "T1"."songid" = "T2"."songid" WHERE "Badlands" = "title" | 0.139648 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose drug name is medium chain triglycerides? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Medium Chain Triglycerides" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Medium Chain Triglycerides" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.197266 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| provide the number of patients whose lab test item id is 5148. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51458" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51458" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.149414 |
CREATE TABLE table_name_19 (lead VARCHAR, season VARCHAR)
| What is the Lead in the 2004-05 Season? | SELECT lead FROM table_name_19 WHERE season = "2004-05" | SELECT "lead" FROM "table_name_19" WHERE "2004-05" = "season" | 0.05957 |
CREATE TABLE table_16 ("#" TEXT, "Shipyard" TEXT, "Laid down" TEXT, "Launched" TEXT, "Commissioned" TEXT, "Fleet" TEXT, "Status" TEXT)
| List the # for ships commissioned on september 30, 1967. | SELECT "#" FROM table_16 WHERE "Commissioned" = 'September 30, 1967' | SELECT "#" FROM "table_16" WHERE "Commissioned" = 'September 30, 1967' | 0.068359 |
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
| Visualize a bar chart for how many hours do the students spend studying in each department?, and I want to list by the Y-axis in asc. | SELECT DEPT_CODE, SUM(STU_HRS) FROM STUDENT GROUP BY DEPT_CODE ORDER BY SUM(STU_HRS) | SELECT "DEPT_CODE", SUM("STU_HRS") FROM "STUDENT" GROUP BY "DEPT_CODE" ORDER BY SUM("STU_HRS") NULLS FIRST | 0.103516 |
CREATE TABLE table_name_95 (top_10 INT, cuts_made VARCHAR, top_5 VARCHAR)
| Which Top-10 has a Cuts made of 10, and a Top-5 larger than 1? | SELECT MIN(top_10) FROM table_name_95 WHERE cuts_made = 10 AND top_5 > 1 | SELECT MIN("top_10") FROM "table_name_95" WHERE "cuts_made" = 10 AND "top_5" > 1 | 0.078125 |
CREATE TABLE table_name_81 (long INT, name VARCHAR, avg_g VARCHAR)
| What is the lowest Long, when Name is Kass, Rob, and when Avg/g is less than -0.30000000000000004? | SELECT MIN(long) FROM table_name_81 WHERE name = "kass, rob" AND avg_g < -0.30000000000000004 | SELECT MIN("long") FROM "table_name_81" WHERE "avg_g" < -0.30000000000000004 AND "kass, rob" = "name" | 0.098633 |
CREATE TABLE students (student_id DECIMAL, student_details TEXT)
CREATE TABLE people_addresses (person_address_id DECIMAL, person_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE people (person_id DECIMAL, first_name TEXT, middle_name TEXT, last_name TEXT, cell_mobile_number TEXT, email_address TEXT, login_name TEXT, password TEXT)
CREATE TABLE courses (course_id TEXT, course_name TEXT, course_description TEXT, other_details TEXT)
CREATE TABLE student_course_attendance (student_id DECIMAL, course_id DECIMAL, date_of_attendance TIME)
CREATE TABLE addresses (address_id DECIMAL, line_1 TEXT, line_2 TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT)
CREATE TABLE candidate_assessments (candidate_id DECIMAL, qualification TEXT, assessment_date TIME, asessment_outcome_code TEXT)
CREATE TABLE candidates (candidate_id DECIMAL, candidate_details TEXT)
CREATE TABLE student_course_registrations (student_id DECIMAL, course_id DECIMAL, registration_date TIME)
| which course has most number of registered students? | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T1"."course_name" FROM "courses" AS "T1" JOIN "student_course_registrations" AS "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "T1"."course_id" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.194336 |
CREATE TABLE user (uid INT, user_id VARCHAR, name VARCHAR)
CREATE TABLE category (id INT, business_id VARCHAR, category_name VARCHAR)
CREATE TABLE review (rid INT, business_id VARCHAR, user_id VARCHAR, rating FLOAT, text TEXT, year INT, month VARCHAR)
CREATE TABLE tip (tip_id INT, business_id VARCHAR, text TEXT, user_id VARCHAR, likes INT, year INT, month VARCHAR)
CREATE TABLE neighborhood (id INT, business_id VARCHAR, neighborhood_name VARCHAR)
CREATE TABLE business (bid INT, business_id VARCHAR, name VARCHAR, full_address VARCHAR, city VARCHAR, latitude VARCHAR, longitude VARCHAR, review_count BIGINT, is_open TINYINT, rating FLOAT, state VARCHAR)
CREATE TABLE checkin (cid INT, business_id VARCHAR, count INT, day VARCHAR)
| How many Dentists in ' Los Angeles ' have a rating above 4 ? | SELECT COUNT(DISTINCT (business.name)) FROM business, category WHERE business.city = 'Los Angeles' AND business.rating > 4 AND category.business_id = business.business_id AND category.category_name = 'Dentists' | SELECT COUNT(DISTINCT "business"."name") FROM "business" JOIN "category" ON "business"."business_id" = "category"."business_id" AND "category"."category_name" = 'Dentists' WHERE "business"."city" = 'Los Angeles' AND "business"."rating" > 4 | 0.233398 |
CREATE TABLE transactions_lots (transaction_id DECIMAL, lot_id DECIMAL)
CREATE TABLE investors (investor_id DECIMAL, investor_details TEXT)
CREATE TABLE purchases (purchase_transaction_id DECIMAL, purchase_details TEXT)
CREATE TABLE ref_transaction_types (transaction_type_code TEXT, transaction_type_description TEXT)
CREATE TABLE lots (lot_id DECIMAL, investor_id DECIMAL, lot_details TEXT)
CREATE TABLE transactions (transaction_id DECIMAL, investor_id DECIMAL, transaction_type_code TEXT, date_of_transaction TIME, amount_of_transaction DECIMAL, share_count TEXT, other_details TEXT)
CREATE TABLE sales (sales_transaction_id DECIMAL, sales_details TEXT)
| Show the ids of the investors who have at least two transactions. | SELECT T2.investor_id FROM investors AS T1 JOIN transactions AS T2 ON T1.investor_id = T2.investor_id GROUP BY T2.investor_id HAVING COUNT(*) >= 2 | SELECT "T2"."investor_id" FROM "investors" AS "T1" JOIN "transactions" AS "T2" ON "T1"."investor_id" = "T2"."investor_id" GROUP BY "T2"."investor_id" HAVING COUNT(*) >= 2 | 0.166016 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients under the age of 47 whose lab test fluid is pleural. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "47" AND lab.fluid = "Pleural" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Pleural" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "47" > "demographic"."age" | 0.182617 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose diagnoses long title is unspecified erythematous condition? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Unspecified erythematous condition" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified erythematous condition" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.199219 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many elective hospital admission patients have medicaid health insurance? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Medicaid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ELECTIVE" = "demographic"."admission_type" AND "Medicaid" = "demographic"."insurance" | 0.157227 |
CREATE TABLE table_9476 ("Season" TEXT, "Skip" TEXT, "Third" TEXT, "Second" TEXT, "Lead" TEXT)
| What is the skip when Tony Angiboust was a lead? | SELECT "Skip" FROM table_9476 WHERE "Lead" = 'tony angiboust' | SELECT "Skip" FROM "table_9476" WHERE "Lead" = 'tony angiboust' | 0.061523 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.