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CREATE TABLE table_47798 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the Place of the Player with a Score of 73-68-71=212? | SELECT "Place" FROM table_47798 WHERE "Score" = '73-68-71=212' | SELECT "Place" FROM "table_47798" WHERE "Score" = '73-68-71=212' | 0.0625 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| what was the drug last prescribed to patient 40059 in their current hospital visit? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 40059 AND admissions.dischtime IS NULL) ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 40059 GROUP BY "hadm_id") SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.361328 |
CREATE TABLE table_name_38 (rank NUMBER, state VARCHAR2)
| What is the average rank of a mountain range located in Maine? | SELECT AVG(rank) FROM table_name_38 WHERE state = "maine" | SELECT AVG("rank") FROM "table_name_38" WHERE "maine" = "state" | 0.061523 |
CREATE TABLE table_name_58 (crowd VARCHAR2, venue VARCHAR2)
| What was the attendance when the VFL played Junction Oval? | SELECT COUNT(crowd) FROM table_name_58 WHERE venue = "junction oval" | SELECT COUNT("crowd") FROM "table_name_58" WHERE "junction oval" = "venue" | 0.072266 |
CREATE TABLE salary (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, salary NUMBER)
CREATE TABLE player_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes CLOB)
CREATE TABLE fielding_outfield (player_id CLOB, year NUMBER, stint NUMBER, glf NUMBER, gcf NUMBER, grf NUMBER)
CREATE TABLE player_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE manager (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER, plyr_mgr CLOB)
CREATE TABLE park (park_id CLOB, park_name CLOB, park_alias CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE hall_of_fame (player_id CLOB, yearid NUMBER, votedby CLOB, ballots NUMBER, needed NUMBER, votes NUMBER, inducted CLOB, category CLOB, needed_note CLOB)
CREATE TABLE fielding_postseason (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, round CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, tp NUMBER, pb NUMBER, sb NUMBER, cs NUMBER)
CREATE TABLE team_franchise (franchise_id CLOB, franchise_name CLOB, active CLOB, na_assoc CLOB)
CREATE TABLE batting_postseason (year NUMBER, round CLOB, player_id CLOB, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE team (year NUMBER, league_id CLOB, team_id CLOB, franchise_id CLOB, div_id CLOB, rank NUMBER, g NUMBER, ghome NUMBER, w NUMBER, l NUMBER, div_win CLOB, wc_win CLOB, lg_win CLOB, ws_win CLOB, r NUMBER, ab NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, bb NUMBER, so NUMBER, sb NUMBER, cs NUMBER, hbp NUMBER, sf NUMBER, ra NUMBER, er NUMBER, era NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, ha NUMBER, hra NUMBER, bba NUMBER, soa NUMBER, e NUMBER, dp NUMBER, fp NUMBER, name CLOB, park CLOB, attendance NUMBER, bpf NUMBER, ppf NUMBER, team_id_br CLOB, team_id_lahman45 CLOB, team_id_retro CLOB)
CREATE TABLE batting (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE manager_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE pitching (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp NUMBER, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE fielding (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, pb NUMBER, wp NUMBER, sb NUMBER, cs NUMBER, zr NUMBER)
CREATE TABLE team_half (year NUMBER, league_id CLOB, team_id CLOB, half NUMBER, div_id CLOB, div_win CLOB, rank NUMBER, g NUMBER, w NUMBER, l NUMBER)
CREATE TABLE manager_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes NUMBER)
CREATE TABLE postseason (year NUMBER, round CLOB, team_id_winner CLOB, league_id_winner CLOB, team_id_loser CLOB, league_id_loser CLOB, wins NUMBER, losses NUMBER, ties NUMBER)
CREATE TABLE pitching_postseason (player_id CLOB, year NUMBER, round CLOB, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp CLOB, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE all_star (player_id CLOB, year NUMBER, game_num NUMBER, game_id CLOB, team_id CLOB, league_id CLOB, gp NUMBER, starting_pos NUMBER)
CREATE TABLE player (player_id CLOB, birth_year NUMBER, birth_month NUMBER, birth_day NUMBER, birth_country CLOB, birth_state CLOB, birth_city CLOB, death_year NUMBER, death_month NUMBER, death_day NUMBER, death_country CLOB, death_state CLOB, death_city CLOB, name_first CLOB, name_last CLOB, name_given CLOB, weight NUMBER, height NUMBER, bats CLOB, throws CLOB, debut CLOB, final_game CLOB, retro_id CLOB, bbref_id CLOB)
CREATE TABLE player_college (player_id CLOB, college_id CLOB, year NUMBER)
CREATE TABLE manager_half (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, half NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER)
CREATE TABLE college (college_id CLOB, name_full CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE home_game (year NUMBER, league_id CLOB, team_id CLOB, park_id CLOB, span_first CLOB, span_last CLOB, games NUMBER, openings NUMBER, attendance NUMBER)
CREATE TABLE appearances (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, g_all NUMBER, gs NUMBER, g_batting NUMBER, g_defense NUMBER, g_p NUMBER, g_c NUMBER, g_1b NUMBER, g_2b NUMBER, g_3b NUMBER, g_ss NUMBER, g_lf NUMBER, g_cf NUMBER, g_rf NUMBER, g_of NUMBER, g_dh NUMBER, g_ph NUMBER, g_pr NUMBER)
| Show me the frequency of those years (bin year into year interval) that the team Boston Red Stockings won in the postseasons with a bar chart, I want to order by the x axis in desc please. | SELECT year, COUNT(year) FROM postseason AS T1 JOIN team AS T2 ON T1.team_id_winner = T2.team_id_br WHERE T2.name = 'Boston Red Stockings' ORDER BY year DESC | SELECT "year", COUNT("year") FROM "postseason" "T1" JOIN "team" "T2" ON "T1"."team_id_winner" = "T2"."team_id_br" AND "T2"."name" = 'Boston Red Stockings' ORDER BY "year" DESC | 0.170898 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many male patients have undergone the lab test for ferritin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "M" AND lab.label = "Ferritin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ferritin" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "M" = "demographic"."gender" | 0.185547 |
CREATE TABLE table_29626583_1 (position VARCHAR2, affiliation VARCHAR2)
| what is the position for the united states u-20 affiliation | SELECT position FROM table_29626583_1 WHERE affiliation = "United States U-20" | SELECT "position" FROM "table_29626583_1" WHERE "United States U-20" = "affiliation" | 0.082031 |
CREATE TABLE college (cname CLOB, state CLOB, enr NUMBER)
CREATE TABLE tryout (pid NUMBER, cname CLOB, ppos CLOB, decision CLOB)
CREATE TABLE player (pid NUMBER, pname CLOB, ycard CLOB, hs NUMBER)
| What college has a student who successfully made the team in the role of a goalie? | SELECT cname FROM tryout WHERE decision = 'yes' AND ppos = 'goalie' | SELECT "cname" FROM "tryout" WHERE "decision" = 'yes' AND "ppos" = 'goalie' | 0.073242 |
CREATE TABLE table_5359 ("Player" CLOB, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| What Player has more than 1 Touchdowns with 0 Extra Points and less than 50 Points? | SELECT "Player" FROM table_5359 WHERE "Touchdowns" > '1' AND "Extra points" = '0' AND "Points" < '50' | SELECT "Player" FROM "table_5359" WHERE "Extra points" = '0' AND "Points" < '50' AND "Touchdowns" > '1' | 0.100586 |
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
| Show the card type codes and the number of transactions with a bar chart, show by the X in descending. | SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code ORDER BY card_type_code DESC | SELECT "card_type_code", COUNT(*) FROM "Financial_Transactions" "T1" JOIN "Customers_Cards" "T2" ON "T1"."card_id" = "T2"."card_id" GROUP BY "T2"."card_type_code" ORDER BY "card_type_code" DESC | 0.188477 |
CREATE TABLE table_11677760_1 (nba_draft VARCHAR2, player VARCHAR2)
| how many times was the player felipe lopez? | SELECT COUNT(nba_draft) FROM table_11677760_1 WHERE player = "Felipe Lopez" | SELECT COUNT("nba_draft") FROM "table_11677760_1" WHERE "Felipe Lopez" = "player" | 0.079102 |
CREATE TABLE table_470 ("Year" CLOB, "Champion" CLOB, "Country" CLOB, "Score" CLOB, "Tournament location" CLOB, "Purse ( $ ) " FLOAT, "Winners share ( $ ) " FLOAT)
| What year is Japan the country? | SELECT "Year" FROM table_470 WHERE "Country" = 'Japan' | SELECT "Year" FROM "table_470" WHERE "Country" = 'Japan' | 0.054688 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For all employees who have the letters D or S in their first name, a bar chart shows the distribution of job_id and the sum of employee_id , and group by attribute job_id, and sort x axis from high to low order please. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC | 0.146484 |
CREATE TABLE table_8745 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| Which week was the team's bye week? | SELECT MAX("Week") FROM table_8745 WHERE "Attendance" = 'bye' | SELECT MAX("Week") FROM "table_8745" WHERE "Attendance" = 'bye' | 0.061523 |
CREATE TABLE table_name_42 (date VARCHAR2, total VARCHAR2, venue VARCHAR2)
| What day was the total smaller than 19 at Venue of anz stadium? | SELECT date FROM table_name_42 WHERE total < 19 AND venue = "anz stadium" | SELECT "date" FROM "table_name_42" WHERE "anz stadium" = "venue" AND "total" < 19 | 0.079102 |
CREATE TABLE table_71640 ("Year" FLOAT, "Team" CLOB, "Co-Drivers" CLOB, "Class" CLOB, "Laps" FLOAT, "Pos." CLOB, "Class Pos." CLOB)
| What was the class when there were 325 laps? | SELECT "Class" FROM table_71640 WHERE "Laps" = '325' | SELECT "Class" FROM "table_71640" WHERE "Laps" = '325' | 0.052734 |
CREATE TABLE table_name_46 (attendance NUMBER, week VARCHAR2)
| What is the lowest attendance for week 11? | SELECT MIN(attendance) FROM table_name_46 WHERE week = 11 | SELECT MIN("attendance") FROM "table_name_46" WHERE "week" = 11 | 0.061523 |
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
| Give me a histogram for what is the lowest salary in departments with average salary greater than the overall average, and could you rank by the x axis in asc? | SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name ORDER BY dept_name | SELECT "dept_name", MIN("salary") FROM "instructor" GROUP BY "dept_name" ORDER BY "dept_name" | 0.09082 |
CREATE TABLE table_7712 ("Season" CLOB, "Competition" CLOB, "Round" CLOB, "Opponent" CLOB, "Home" CLOB, "Away" CLOB, "Agg." CLOB)
| What was the aggregate total for the match against Koper? | SELECT "Agg." FROM table_7712 WHERE "Opponent" = 'koper' | SELECT "Agg." FROM "table_7712" WHERE "Opponent" = 'koper' | 0.056641 |
CREATE TABLE table_13917 ("Year ( s ) " CLOB, "Selection show" CLOB, "Venue" CLOB, "National final main host" CLOB, "National final co host" CLOB, "Semi final/heat host" CLOB)
| What is the name of the national final main host at BBC Television Centre, and the selection show was Eurovision: Your Country Needs You? | SELECT "National final main host" FROM table_13917 WHERE "Venue" = 'bbc television centre' AND "Selection show" = 'eurovision: your country needs you' | SELECT "National final main host" FROM "table_13917" WHERE "Selection show" = 'eurovision: your country needs you' AND "Venue" = 'bbc television centre' | 0.148438 |
CREATE TABLE table_name_31 (team VARCHAR2, location_attendance VARCHAR2, series VARCHAR2)
| what is the team when the location attendace is boston garden and the series is 0-1? | SELECT team FROM table_name_31 WHERE location_attendance = "boston garden" AND series = "0-1" | SELECT "team" FROM "table_name_31" WHERE "0-1" = "series" AND "boston garden" = "location_attendance" | 0.098633 |
CREATE TABLE table_27782699_3 (manner_of_departure VARCHAR2, replaced_by VARCHAR2)
| How did the manager who was replaced by Jakob Michelsen depart? | SELECT manner_of_departure FROM table_27782699_3 WHERE replaced_by = "Jakob Michelsen" | SELECT "manner_of_departure" FROM "table_27782699_3" WHERE "Jakob Michelsen" = "replaced_by" | 0.089844 |
CREATE TABLE table_9419 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "School/Club Team" CLOB)
| What is the pick for Mickey Johnson with fewer than 4 rounds? | SELECT SUM("Pick") FROM table_9419 WHERE "Player" = 'mickey johnson' AND "Round" < '4' | SELECT SUM("Pick") FROM "table_9419" WHERE "Player" = 'mickey johnson' AND "Round" < '4' | 0.085938 |
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Time difference between answer being posted and accepted. | SELECT Id FROM Posts | SELECT "Id" FROM "Posts" | 0.023438 |
CREATE TABLE table_1979619_3 (district NUMBER, residence VARCHAR2)
| Name the district for newtown square | SELECT MIN(district) FROM table_1979619_3 WHERE residence = "Newtown Square" | SELECT MIN("district") FROM "table_1979619_3" WHERE "Newtown Square" = "residence" | 0.080078 |
CREATE TABLE table_name_66 (enzyme VARCHAR2, disorder VARCHAR2)
| What is the enzyme involved in the disorder of Ornithine Transcarbamylase deficiency? | SELECT enzyme FROM table_name_66 WHERE disorder = "ornithine transcarbamylase deficiency" | SELECT "enzyme" FROM "table_name_66" WHERE "disorder" = "ornithine transcarbamylase deficiency" | 0.092773 |
CREATE TABLE table_25293 ("Station" CLOB, "Extension" CLOB, "City/Neighborhood" CLOB, "Projected opening" FLOAT, "Transit Connections" CLOB, "Park and ride?" CLOB)
| Name the extension for university of washington | SELECT "Extension" FROM table_25293 WHERE "City/Neighborhood" = 'University of Washington' | SELECT "Extension" FROM "table_25293" WHERE "City/Neighborhood" = 'University of Washington' | 0.089844 |
CREATE TABLE table_name_85 (attendance VARCHAR2, date VARCHAR2)
| How many attended on may 6? | SELECT COUNT(attendance) FROM table_name_85 WHERE date = "may 6" | SELECT COUNT("attendance") FROM "table_name_85" WHERE "date" = "may 6" | 0.068359 |
CREATE TABLE table_14166 ("Debut year" FLOAT, "Player" CLOB, "Games" FLOAT, "Goals" FLOAT, "Years at club" CLOB)
| Which Years at club have a Debut year of 1930, and Games larger than 7, and a Player of colin benham? | SELECT "Years at club" FROM table_14166 WHERE "Debut year" = '1930' AND "Games" > '7' AND "Player" = 'colin benham' | SELECT "Years at club" FROM "table_14166" WHERE "Debut year" = '1930' AND "Games" > '7' AND "Player" = 'colin benham' | 0.114258 |
CREATE TABLE table_47832 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| Which Pick has a Round larger than 8, a Name of kenny fells, and an Overall larger than 297? | SELECT SUM("Pick") FROM table_47832 WHERE "Round" > '8' AND "Name" = 'kenny fells' AND "Overall" > '297' | SELECT SUM("Pick") FROM "table_47832" WHERE "Name" = 'kenny fells' AND "Overall" > '297' AND "Round" > '8' | 0.103516 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, a scatter chart shows the correlation between code and code , and group by attribute headquarter. | SELECT T1.Code, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter | SELECT "T1"."Code", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" | 0.134766 |
CREATE TABLE table_14009909_1 (delegate VARCHAR2, first_elected VARCHAR2)
| Name the delegate first elected in 2003? | SELECT delegate FROM table_14009909_1 WHERE first_elected = 2003 | SELECT "delegate" FROM "table_14009909_1" WHERE "first_elected" = 2003 | 0.068359 |
CREATE TABLE table_10573 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB)
| I want the manner of departure for 1 june 2007 | SELECT "Manner of departure" FROM table_10573 WHERE "Date of appointment" = '1 june 2007' | SELECT "Manner of departure" FROM "table_10573" WHERE "Date of appointment" = '1 june 2007' | 0.088867 |
CREATE TABLE publication (Publication_ID NUMBER, Book_ID NUMBER, Publisher CLOB, Publication_Date CLOB, Price FLOAT)
CREATE TABLE book (Book_ID NUMBER, Title CLOB, Issues FLOAT, Writer CLOB)
| Draw a bar chart of publisher versus the total number, I want to order by the X in desc. | SELECT Publisher, COUNT(*) FROM publication GROUP BY Publisher ORDER BY Publisher DESC | SELECT "Publisher", COUNT(*) FROM "publication" GROUP BY "Publisher" ORDER BY "Publisher" DESC | 0.091797 |
CREATE TABLE table_62432 ("Year" FLOAT, "Miss Universe Philippines" CLOB, "Binibining Pilipinas-World" CLOB, "Binibining Pilipinas-International" CLOB, "Binibining Pilipinas-Tourism" CLOB, "First runner-up" CLOB, "Second runner-up" CLOB)
| Who won Miss Universe Philippines when the first runner-up was Danielle Casta o and Janina San Miguel won Binibining Pilipinas-World? | SELECT "Miss Universe Philippines" FROM table_62432 WHERE "First runner-up" = 'danielle castaño' AND "Binibining Pilipinas-World" = 'janina san miguel' | SELECT "Miss Universe Philippines" FROM "table_62432" WHERE "Binibining Pilipinas-World" = 'janina san miguel' AND "First runner-up" = 'danielle castaño' | 0.149414 |
CREATE TABLE table_30548 ("#" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Winnings ( $ ) " FLOAT, "After" FLOAT, "Before" FLOAT)
| What were the winnings for the score of 66-64-67-71=268? | SELECT "Winnings ($)" FROM table_30548 WHERE "Score" = '66-64-67-71=268' | SELECT "Winnings ($)" FROM "table_30548" WHERE "Score" = '66-64-67-71=268' | 0.072266 |
CREATE TABLE table_67071 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What is the total attendance for games when the record was 23-23? | SELECT COUNT("Attendance") FROM table_67071 WHERE "Record" = '23-23' | SELECT COUNT("Attendance") FROM "table_67071" WHERE "Record" = '23-23' | 0.068359 |
CREATE TABLE table_name_45 (pct NUMBER, pts VARCHAR2, wins VARCHAR2)
| What is the average PCT when it has a PTS smaller than 9 a wins larger than 1? | SELECT AVG(pct) FROM table_name_45 WHERE pts < 9 AND wins > 1 | SELECT AVG("pct") FROM "table_name_45" WHERE "pts" < 9 AND "wins" > 1 | 0.067383 |
CREATE TABLE table_name_6 (erp_w NUMBER, call_sign VARCHAR2)
| What is the lowest ERP W of w223bp? | SELECT MIN(erp_w) FROM table_name_6 WHERE call_sign = "w223bp" | SELECT MIN("erp_w") FROM "table_name_6" WHERE "call_sign" = "w223bp" | 0.066406 |
CREATE TABLE table_name_79 (home VARCHAR2, season VARCHAR2)
| What was the home for season 1949-50? | SELECT home FROM table_name_79 WHERE season = "1949-50" | SELECT "home" FROM "table_name_79" WHERE "1949-50" = "season" | 0.05957 |
CREATE TABLE election (Election_ID NUMBER, Representative_ID NUMBER, Date CLOB, Votes FLOAT, Vote_Percent FLOAT, Seats FLOAT, Place FLOAT)
CREATE TABLE representative (Representative_ID NUMBER, Name CLOB, State CLOB, Party CLOB, Lifespan CLOB)
| A bar chart showing how many representatives in each party, could you order in descending by the x-axis? | SELECT Party, COUNT(Party) FROM representative GROUP BY Party ORDER BY Party DESC | SELECT "Party", COUNT("Party") FROM "representative" GROUP BY "Party" ORDER BY "Party" DESC | 0.088867 |
CREATE TABLE table_13495 ("Township" CLOB, "County" CLOB, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| what is the township when the land (sqmi) is more than 36.112, the geo id is higher than 3801985060 and the latitude is 46.062384? | SELECT "Township" FROM table_13495 WHERE "Land ( sqmi )" > '36.112' AND "GEO ID" > '3801985060' AND "Latitude" = '46.062384' | SELECT "Township" FROM "table_13495" WHERE "GEO ID" > '3801985060' AND "Land ( sqmi )" > '36.112' AND "Latitude" = '46.062384' | 0.123047 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| what is the five most frequent drug that was prescribed within 2 months to the acute respiratory failure - etiology unknown female patients aged 20s after they had been diagnosed with acute respiratory failure - etiology unknown? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute respiratory failure - etiology unknown') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'female' AND patient.age BETWEEN 20 AND 29) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t2.drugstarttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 29 AND "patient"."age" >= 20 AND "patient"."gender" = 'female'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("t2"."drugstarttime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("t2"."drugstarttime") WHERE "diagnosis"."diagnosisname" = 'acute respiratory failure - etiology unknown' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 0.893555 |
CREATE TABLE table_32584 ("Round" FLOAT, "Overall" FLOAT, "Player" CLOB, "Position" CLOB, "School/Club Team" CLOB)
| What is the average overall rank of all players drafted from Duke after round 9? | SELECT AVG("Overall") FROM table_32584 WHERE "School/Club Team" = 'duke' AND "Round" > '9' | SELECT AVG("Overall") FROM "table_32584" WHERE "Round" > '9' AND "School/Club Team" = 'duke' | 0.089844 |
CREATE TABLE table_name_2 (opponent VARCHAR2, game VARCHAR2, record VARCHAR2)
| Who was the opponent when they played after Game 26 and their record was 23-4? | SELECT opponent FROM table_name_2 WHERE game > 26 AND record = "23-4" | SELECT "opponent" FROM "table_name_2" WHERE "23-4" = "record" AND "game" > 26 | 0.075195 |
CREATE TABLE table_name_70 (date VARCHAR2, site VARCHAR2, attendance VARCHAR2)
| what is the date when the site is memorial stadium minneapolis, mn, and the Attendance is 53,192? | SELECT date FROM table_name_70 WHERE site = "memorial stadium • minneapolis, mn" AND attendance = "53,192" | SELECT "date" FROM "table_name_70" WHERE "53,192" = "attendance" AND "memorial stadium • minneapolis, mn" = "site" | 0.111328 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is icu stay id of subject id 83678? | SELECT prescriptions.icustay_id FROM prescriptions WHERE prescriptions.subject_id = "83678" | SELECT "prescriptions"."icustay_id" FROM "prescriptions" WHERE "83678" = "prescriptions"."subject_id" | 0.098633 |
CREATE TABLE table_63722 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What was the date of the game for the Wrexham away team? | SELECT "Date" FROM table_63722 WHERE "Away team" = 'wrexham' | SELECT "Date" FROM "table_63722" WHERE "Away team" = 'wrexham' | 0.060547 |
CREATE TABLE table_13258876_2 (opponent VARCHAR2, date VARCHAR2)
| Who did the Seahawks play on September 4, 1983? | SELECT opponent FROM table_13258876_2 WHERE date = "September 4, 1983" | SELECT "opponent" FROM "table_13258876_2" WHERE "September 4, 1983" = "date" | 0.074219 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| when was the last time patient 013-28507 sao2 was measured greater than 91.0 on the first intensive care unit visit. | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-28507') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND vitalperiodic.sao2 > 91.0 AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-28507' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY) SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."sao2" > 91.0 AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.750977 |
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
| explain meal codes SD/D | SELECT DISTINCT compartment, meal_code, meal_description, meal_number FROM food_service WHERE meal_code = 'SD/D' | SELECT DISTINCT "compartment", "meal_code", "meal_description", "meal_number" FROM "food_service" WHERE "meal_code" = 'SD/D' | 0.121094 |
CREATE TABLE table_204_211 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| what is the total amount on medals awarded ? | SELECT SUM("total") FROM table_204_211 | SELECT SUM("total") FROM "table_204_211" | 0.039063 |
CREATE TABLE table_name_1 (attendance NUMBER, date VARCHAR2)
| What is the attendance of the game on July 26? | SELECT SUM(attendance) FROM table_name_1 WHERE date = "july 26" | SELECT SUM("attendance") FROM "table_name_1" WHERE "date" = "july 26" | 0.067383 |
CREATE TABLE table_12043148_2 (bristol_ VARCHAR2, _n_som VARCHAR2, somerset VARCHAR2)
| what is the bristol & n. som where the somerset is ashcott and shapwick? | SELECT bristol_ & _n_som FROM table_12043148_2 WHERE somerset = "Ashcott and Shapwick" | SELECT "bristol_" & "_n_som" FROM "table_12043148_2" WHERE "Ashcott and Shapwick" = "somerset" | 0.091797 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| how many patients had been in the careunit sicu during the previous year? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.careunit = 'sicu' AND DATETIME(transfers.intime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) | WITH "_u_0" AS (SELECT "transfers"."hadm_id" FROM "transfers" WHERE "transfers"."careunit" = 'sicu' AND DATETIME("transfers"."intime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.374023 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| how many hours has passed since patient 31088 stayed for the last time in careunit micu in this hospital visit? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31088 AND admissions.dischtime IS NULL) AND transfers.careunit = 'micu' ORDER BY transfers.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 31088 GROUP BY "hadm_id") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "transfers"."intime")) FROM "transfers" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE "transfers"."careunit" = 'micu' AND NOT "_u_0"."" IS NULL ORDER BY "transfers"."intime" DESC FETCH FIRST 1 ROWS ONLY | 0.43457 |
CREATE TABLE table_37257 ("Rank" FLOAT, "Stadium" CLOB, "Capacity" FLOAT, "City" CLOB, "Country" CLOB)
| Which Capacity is the lowest one that has a City of brisbane, and a Rank smaller than 1? | SELECT MIN("Capacity") FROM table_37257 WHERE "City" = 'brisbane' AND "Rank" < '1' | SELECT MIN("Capacity") FROM "table_37257" WHERE "City" = 'brisbane' AND "Rank" < '1' | 0.082031 |
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
CREATE TABLE employee (eid NUMBER, name VARCHAR2, salary NUMBER)
CREATE TABLE flight (flno NUMBER, origin VARCHAR2, destination VARCHAR2, distance NUMBER, departure_date DATE, arrival_date DATE, price NUMBER, aid NUMBER)
CREATE TABLE aircraft (aid NUMBER, name VARCHAR2, distance NUMBER)
| Show the number of flights in each destination city with a bar chart, rank by the X from low to high. | SELECT destination, COUNT(destination) FROM flight GROUP BY destination ORDER BY destination | SELECT "destination", COUNT("destination") FROM "flight" GROUP BY "destination" ORDER BY "destination" | 0.099609 |
CREATE TABLE table_name_88 (iata VARCHAR2, airport VARCHAR2)
| What is the IATA for San Francisco airport? | SELECT iata FROM table_name_88 WHERE airport = "san francisco airport" | SELECT "iata" FROM "table_name_88" WHERE "airport" = "san francisco airport" | 0.074219 |
CREATE TABLE train (Train_ID NUMBER, Train_Num CLOB, Name CLOB, From CLOB, Arrival CLOB, Railway_ID NUMBER)
CREATE TABLE railway_manage (Railway_ID NUMBER, Manager_ID NUMBER, From_Year CLOB)
CREATE TABLE railway (Railway_ID NUMBER, Railway CLOB, Builder CLOB, Built CLOB, Wheels CLOB, Location CLOB, ObjectNumber CLOB)
CREATE TABLE manager (Manager_ID NUMBER, Name CLOB, Country CLOB, Working_year_starts CLOB, Age NUMBER, Level NUMBER)
| A bar chart for showing the number of the countries that have managers of age above 50 or below 46, and list in descending by the Y. | SELECT Country, COUNT(Country) FROM manager WHERE Age > 50 OR Age < 46 GROUP BY Country ORDER BY COUNT(Country) DESC | SELECT "Country", COUNT("Country") FROM "manager" WHERE "Age" < 46 OR "Age" > 50 GROUP BY "Country" ORDER BY COUNT("Country") DESC | 0.126953 |
CREATE TABLE table_22636 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Bills points" FLOAT, "Opponents" FLOAT, "Record" CLOB, "Attendance" FLOAT)
| How many points did the opposing team score on Dec. 19, 1982? | SELECT MAX("Opponents") FROM table_22636 WHERE "Date" = 'Dec. 19' | SELECT MAX("Opponents") FROM "table_22636" WHERE "Date" = 'Dec. 19' | 0.06543 |
CREATE TABLE table_name_69 (opponent VARCHAR2, score VARCHAR2)
| Who scored 18-19? | SELECT opponent FROM table_name_69 WHERE score = "18-19" | SELECT "opponent" FROM "table_name_69" WHERE "18-19" = "score" | 0.060547 |
CREATE TABLE table_name_28 (gene VARCHAR2, subject_number VARCHAR2)
| Which gene has the subject number 21? | SELECT gene FROM table_name_28 WHERE subject_number = "21" | SELECT "gene" FROM "table_name_28" WHERE "21" = "subject_number" | 0.0625 |
CREATE TABLE table_400 ("Name" CLOB, "Position" CLOB, "Height" CLOB, "Weight ( lbs ) " FLOAT, "Born" CLOB, "College" CLOB, "Drafted" CLOB, "Pro Team" CLOB)
| What is the weight(lbs) when born is april 6, 1954 detroit, mi? | SELECT "Weight(lbs)" FROM table_400 WHERE "Born" = 'April 6, 1954 Detroit, MI' | SELECT "Weight(lbs)" FROM "table_400" WHERE "Born" = 'April 6, 1954 Detroit, MI' | 0.078125 |
CREATE TABLE table_38241 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Attendance" CLOB)
| Who was the opponent at the game attended by 62,019 before week 17? | SELECT "Opponent" FROM table_38241 WHERE "Week" < '17' AND "Attendance" = '62,019' | SELECT "Opponent" FROM "table_38241" WHERE "Attendance" = '62,019' AND "Week" < '17' | 0.082031 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is the number of patients whose admission type is emergency and born before 2066? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dob_year < "2066" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2066" > "demographic"."dob_year" AND "EMERGENCY" = "demographic"."admission_type" | 0.15332 |
CREATE TABLE table_203_320 (id NUMBER, "rank in\ 2011" NUMBER, "name of\ concern" CLOB, "location of\ headquarters" CLOB, "revenue\ ( thou.\ pln ) " NUMBER, "profit\ ( thou.\ pln ) " NUMBER, "employees" NUMBER)
| what company has the top number of employees ? | SELECT "name of\nconcern" FROM table_203_320 ORDER BY "employees" DESC LIMIT 1 | SELECT "name of\nconcern" FROM "table_203_320" ORDER BY "employees" DESC FETCH FIRST 1 ROWS ONLY | 0.09375 |
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
| Bar graph to show the total number from different payment method code, and order from low to high by the the total number please. | SELECT payment_method_code, COUNT(*) FROM Customers GROUP BY payment_method_code ORDER BY COUNT(*) | SELECT "payment_method_code", COUNT(*) FROM "Customers" GROUP BY "payment_method_code" ORDER BY COUNT(*) | 0.101563 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is death status of subject name paul edwards? | SELECT demographic.expire_flag FROM demographic WHERE demographic.name = "Paul Edwards" | SELECT "demographic"."expire_flag" FROM "demographic" WHERE "Paul Edwards" = "demographic"."name" | 0.094727 |
CREATE TABLE table_39589 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| Who was the leading scorer and how many did he score for the game on June 13? | SELECT "High points" FROM table_39589 WHERE "Date" = 'june 13' | SELECT "High points" FROM "table_39589" WHERE "Date" = 'june 13' | 0.0625 |
CREATE TABLE table_30060356_3 (gt3_pro___am_cup_winner VARCHAR2, gt3_pro_cup_winner VARCHAR2)
| Who are the gt3 pro / am cup winners when the gt3 pro cup winner was no. 1 vita4one? | SELECT gt3_pro___am_cup_winner FROM table_30060356_3 WHERE gt3_pro_cup_winner = "No. 1 Vita4One" | SELECT "gt3_pro___am_cup_winner" FROM "table_30060356_3" WHERE "No. 1 Vita4One" = "gt3_pro_cup_winner" | 0.099609 |
CREATE TABLE table_29214 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What CFL Team was Barry Jamieson a part of? | SELECT "CFL Team" FROM table_29214 WHERE "Player" = 'Barry Jamieson' | SELECT "CFL Team" FROM "table_29214" WHERE "Player" = 'Barry Jamieson' | 0.068359 |
CREATE TABLE table_203_221 (id NUMBER, "name" CLOB, "nationality" CLOB, "matches played" NUMBER, "goals scored" NUMBER, "notes" CLOB)
| what englishman played for melbourne before any other englishman ? | SELECT "name" FROM table_203_221 WHERE "nationality" = 'england' LIMIT 1 | SELECT "name" FROM "table_203_221" WHERE "nationality" = 'england' FETCH FIRST 1 ROWS ONLY | 0.087891 |
CREATE TABLE table_66171 ("Year" FLOAT, "Award" CLOB, "Nominee" CLOB, "Episode" CLOB, "Result" CLOB)
| What award has a year later than 2004, and the episode was 'The Road to Damuscus'? | SELECT "Award" FROM table_66171 WHERE "Year" > '2004' AND "Episode" = 'the road to damuscus' | SELECT "Award" FROM "table_66171" WHERE "Episode" = 'the road to damuscus' AND "Year" > '2004' | 0.091797 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what is patient 42396's last careunit until 2101? | SELECT transfers.careunit FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 42396) AND NOT transfers.careunit IS NULL AND STRFTIME('%y', transfers.intime) <= '2101' ORDER BY transfers.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 42396 GROUP BY "hadm_id") SELECT "transfers"."careunit" FROM "transfers" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "transfers"."careunit" IS NULL AND STRFTIME('%y', "transfers"."intime") <= '2101' ORDER BY "transfers"."intime" DESC FETCH FIRST 1 ROWS ONLY | 0.398438 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients who have additive type drug prescription along with procedure icd9 code 4523. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "4523" AND prescriptions.drug_type = "ADDITIVE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" JOIN "procedures" ON "4523" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.290039 |
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
| RLA-RegDiscontinuity: all users with 5 downvotes in a week. | SELECT u.Id, u.DisplayName, u.Reputation, v.weekno, COUNT(v.Id) AS downvotes, MIN(v.CreationDate) AS fromdate, MAX(v.CreationDate) AS todate FROM Users AS u, Posts AS p, (SELECT Id, DATEDIFF(week, '2019-01-01', creationdate) AS weekno, CreationDate, PostId FROM Votes WHERE CreationDate >= '2019-01-01' AND VoteTypeId = 3) AS v WHERE u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.OwnerUserId = 2901002 AND p.PostTypeId = 2 GROUP BY u.Id, u.DisplayName, u.Reputation, v.weekno ORDER BY u.Id, u.Reputation, v.weekno | WITH "v" AS (SELECT "Id", DATEDIFF(CAST("week" AS DATETIME), CAST('2019-01-01' AS DATETIME), CREATIONDATE) AS "weekno", "CreationDate", "PostId" FROM "Votes" WHERE "CreationDate" >= '2019-01-01' AND "VoteTypeId" = 3) SELECT "u"."Id", "u"."DisplayName", "u"."Reputation", "v"."weekno", COUNT("v"."Id") AS "downvotes", MIN("v"."CreationDate") AS "fromdate", MAX("v"."CreationDate") AS "todate" FROM "Users" "u" JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" AND "p"."OwnerUserId" = 2901002 AND "p"."PostTypeId" = 2 JOIN "v" "v" ON "p"."Id" = "v"."PostId" GROUP BY "u"."Id", "u"."DisplayName", "u"."Reputation", "v"."weekno" ORDER BY "u"."Id", "u"."Reputation", "v"."weekno" | 0.657227 |
CREATE TABLE table_448 ("Character ( s ) " CLOB, "First Appearance" CLOB, "Cover Date" CLOB, "Publisher" CLOB, "Estimated Value" CLOB)
| what is the total number of publisher where first appearance is daredevil #1 | SELECT COUNT("Publisher") FROM table_448 WHERE "First Appearance" = 'Daredevil #1' | SELECT COUNT("Publisher") FROM "table_448" WHERE "First Appearance" = 'Daredevil #1' | 0.082031 |
CREATE TABLE table_22843 ("DVD title" CLOB, "Number of Episodes" CLOB, "Region 2" CLOB, "Region 4 ( AU ) " CLOB, "Region 1 ( US ) " CLOB)
| Where are there 25 episodes in Catfights and Brawls? | SELECT "Region 2" FROM table_22843 WHERE "Number of Episodes" = '25' AND "DVD title" = 'Catfights and Brawls' | SELECT "Region 2" FROM "table_22843" WHERE "DVD title" = 'Catfights and Brawls' AND "Number of Episodes" = '25' | 0.108398 |
CREATE TABLE table_66380 ("Club" CLOB, "Sport" CLOB, "Founded" FLOAT, "League" CLOB, "Venue" CLOB)
| What club team was founded before 2011 and plays at the champion window field? | SELECT "Club" FROM table_66380 WHERE "Founded" < '2011' AND "Venue" = 'champion window field' | SELECT "Club" FROM "table_66380" WHERE "Founded" < '2011' AND "Venue" = 'champion window field' | 0.092773 |
CREATE TABLE table_22464685_1 (author VARCHAR2, transliteration VARCHAR2)
| who is the auther when the transliteration is lasha-giorgis droindeli matiane? | SELECT author FROM table_22464685_1 WHERE transliteration = "lasha-giorgis droindeli matiane" | SELECT "author" FROM "table_22464685_1" WHERE "lasha-giorgis droindeli matiane" = "transliteration" | 0.09668 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| how many hours have it been since the last time patient 031-13920 had a procedure in this hospital encounter? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', treatment.treatmenttime)) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-13920' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '031-13920' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "treatment"."treatmenttime")) FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC FETCH FIRST 1 ROWS ONLY | 0.657227 |
CREATE TABLE table_47030 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the record of the game with a game number greater than 24 on December 19? | SELECT "Record" FROM table_47030 WHERE "Game" > '24' AND "Date" = 'december 19' | SELECT "Record" FROM "table_47030" WHERE "Date" = 'december 19' AND "Game" > '24' | 0.079102 |
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Top 50 Users from Barcelona by Reputation. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%barcelona%' ORDER BY Reputation DESC LIMIT 50 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Location") LIKE '%barcelona%' ORDER BY "Reputation" DESC FETCH FIRST 50 ROWS ONLY | 0.198242 |
CREATE TABLE table_name_84 (crowd NUMBER, venue VARCHAR2)
| What is the lowest crowd seen by the mcg Venue? | SELECT MIN(crowd) FROM table_name_84 WHERE venue = "mcg" | SELECT MIN("crowd") FROM "table_name_84" WHERE "mcg" = "venue" | 0.060547 |
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
| which flights are serviced by AA | SELECT DISTINCT flight_id FROM flight WHERE airline_code = 'AA' | SELECT DISTINCT "flight_id" FROM "flight" WHERE "airline_code" = 'AA' | 0.067383 |
CREATE TABLE table_1697190_1 (cuts_made NUMBER, wins VARCHAR2)
| Nme the most cuts made for wins being 0 | SELECT MAX(cuts_made) FROM table_1697190_1 WHERE wins = 0 | SELECT MAX("cuts_made") FROM "table_1697190_1" WHERE "wins" = 0 | 0.061523 |
CREATE TABLE table_16494599_10 (years_for_grizzlies VARCHAR2, school_club_team VARCHAR2)
| During what years did athletes who attended school in Minnesota play for the Grizzlies? | SELECT years_for_grizzlies FROM table_16494599_10 WHERE school_club_team = "Minnesota" | SELECT "years_for_grizzlies" FROM "table_16494599_10" WHERE "Minnesota" = "school_club_team" | 0.089844 |
CREATE TABLE table_name_91 (location VARCHAR2, event VARCHAR2)
| What location was the event ufc: fight for the troops? | SELECT location FROM table_name_91 WHERE event = "ufc: fight for the troops" | SELECT "location" FROM "table_name_91" WHERE "event" = "ufc: fight for the troops" | 0.080078 |
CREATE TABLE table_1973842_2 (nickname VARCHAR2, location VARCHAR2)
| What's the nickname of the school in Maryville, Tennessee? | SELECT nickname FROM table_1973842_2 WHERE location = "Maryville, Tennessee" | SELECT "nickname" FROM "table_1973842_2" WHERE "Maryville, Tennessee" = "location" | 0.080078 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| what is patient 13686's average calcium, total value in 07/this year? | SELECT AVG(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13686) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'calcium, total') AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', labevents.charttime) = '07' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 13686 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'calcium, total' GROUP BY "itemid") SELECT AVG("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '07' | 0.620117 |
CREATE TABLE table_name_62 (fuel_type VARCHAR2, manufacturer VARCHAR2, mpg_us_extra_urban VARCHAR2, mpg_us_combined VARCHAR2)
| Which Fuel Type that has a mpg-US Extra-Urban larger than 53.5, and a mpg-US Combined larger than 50 from renault? | SELECT fuel_type FROM table_name_62 WHERE mpg_us_extra_urban > 53.5 AND mpg_us_combined > 50 AND manufacturer = "renault" | SELECT "fuel_type" FROM "table_name_62" WHERE "manufacturer" = "renault" AND "mpg_us_combined" > 50 AND "mpg_us_extra_urban" > 53.5 | 0.12793 |
CREATE TABLE stadium (id NUMBER, name CLOB, capacity NUMBER, city CLOB, country CLOB, opening_year NUMBER)
CREATE TABLE event (id NUMBER, name CLOB, stadium_id NUMBER, year CLOB)
CREATE TABLE record (id NUMBER, result CLOB, swimmer_id NUMBER, event_id NUMBER)
CREATE TABLE swimmer (id NUMBER, name CLOB, nationality CLOB, meter_100 NUMBER, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, time CLOB)
| Find the names of stadiums which have never had any event. | SELECT name FROM stadium WHERE NOT id IN (SELECT stadium_id FROM event) | SELECT "name" FROM "stadium" WHERE NOT "id" IN (SELECT "stadium_id" FROM "event") | 0.079102 |
CREATE TABLE table_14934885_1 (performer_2 VARCHAR2, episode VARCHAR2)
| Who is the second performer in episode 5? | SELECT performer_2 FROM table_14934885_1 WHERE episode = 5 | SELECT "performer_2" FROM "table_14934885_1" WHERE "episode" = 5 | 0.0625 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| has patient 60136 been prescribed amlodipine besylate this year. | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 60136) AND prescriptions.drug = 'amlodipine besylate' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 60136 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'amlodipine besylate' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL | 0.412109 |
CREATE TABLE table_32160 ("Region" CLOB, "Date" FLOAT, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| Tell me the date for format of cd/dvd | SELECT "Date" FROM table_32160 WHERE "Format" = 'cd/dvd' | SELECT "Date" FROM "table_32160" WHERE "Format" = 'cd/dvd' | 0.056641 |
CREATE TABLE table_name_13 (nation_of_citizenship VARCHAR2, type_of_vehicle VARCHAR2, year VARCHAR2)
| What Nation of citizenship has a stock car vehicle with a year of 2012? | SELECT nation_of_citizenship FROM table_name_13 WHERE type_of_vehicle = "stock car" AND year = 2012 | SELECT "nation_of_citizenship" FROM "table_name_13" WHERE "stock car" = "type_of_vehicle" AND "year" = 2012 | 0.104492 |
CREATE TABLE table_63228 ("Player" CLOB, "Country" CLOB, "Year won" FLOAT, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| Which year won has a Finish of t24, and a Country of england? | SELECT AVG("Year won") FROM table_63228 WHERE "Finish" = 't24' AND "Country" = 'england' | SELECT AVG("Year won") FROM "table_63228" WHERE "Country" = 'england' AND "Finish" = 't24' | 0.087891 |
CREATE TABLE table_name_51 (result VARCHAR2, score VARCHAR2)
| Which result has a Score of 30-44? | SELECT result FROM table_name_51 WHERE score = "30-44" | SELECT "result" FROM "table_name_51" WHERE "30-44" = "score" | 0.058594 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what was the number of hospitalized patients? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.hospitaldischargetime IS NULL | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL | 0.104492 |
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