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CREATE TABLE table_name_31 (goals_scored INT, club VARCHAR, wins VARCHAR)
| How many goals scored have utenis utena as the club, with wins less than 8? | SELECT SUM(goals_scored) FROM table_name_31 WHERE club = "utenis utena" AND wins < 8 | SELECT SUM("goals_scored") FROM "table_name_31" WHERE "club" = "utenis utena" AND "wins" < 8 | 0.089844 |
CREATE TABLE bank (branch_ID INT, bname VARCHAR, no_of_customers INT, city VARCHAR, state VARCHAR)
CREATE TABLE loan (loan_ID VARCHAR, loan_type VARCHAR, cust_ID VARCHAR, branch_ID VARCHAR, amount INT)
CREATE TABLE customer (cust_ID VARCHAR, cust_name VARCHAR, acc_type CHAR, acc_bal INT, no_of_loans INT, credit_score INT, branch_ID INT, state VARCHAR)
| Return a histogram on what are the different names and credit scores of customers who have taken a loan?, and display bars in ascending order please. | SELECT cust_name, credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_ID = T2.cust_ID ORDER BY cust_name | SELECT "cust_name", "credit_score" FROM "customer" AS "T1" JOIN "loan" AS "T2" ON "T1"."cust_ID" = "T2"."cust_ID" ORDER BY "cust_name" NULLS FIRST | 0.142578 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what were the top four most frequent inputs event in 2104? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE STRFTIME('%y', inputevents_cv.charttime) = '2104' GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "inputevents_cv"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "inputevents_cv" WHERE STRFTIME('%y', "inputevents_cv"."charttime") = '2104' GROUP BY "inputevents_cv"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.436523 |
CREATE TABLE table_6164 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" TEXT, "Position" TEXT, "College" TEXT)
| What is the sum of the pick numbers where the player was picked in round 5 and overall pick number was greater than 159? | SELECT SUM("Pick #") FROM table_6164 WHERE "Round" = '5' AND "Overall" > '159' | SELECT SUM("Pick #") FROM "table_6164" WHERE "Overall" > '159' AND "Round" = '5' | 0.078125 |
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Reputation of users created over time. | SELECT t.Year, t.Month, AVG(t.Reputation) AS AvgReputation, MAX(t.Reputation) AS MaxReputation FROM (SELECT TIME_TO_STR(CreationDate, '%Y') AS Year, TIME_TO_STR(CreationDate, '%m') AS Month, TIME_TO_STR(CreationDate, '%d') AS Day, Reputation FROM Users WHERE Reputation >= 15) AS t GROUP BY YEAR, Month ORDER BY YEAR DESC, Month DESC | SELECT TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), 'yyyy'), TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), 'mm'), AVG("Reputation") AS "AvgReputation", MAX("Reputation") AS "MaxReputation" FROM "Users" WHERE "Reputation" >= 15 GROUP BY "YEAR", "Month" ORDER BY "YEAR" DESC NULLS LAST, "Month" DESC NULLS LAST | 0.301758 |
CREATE TABLE table_2015453_1 (date VARCHAR, attendance VARCHAR)
| What date was the attendance 22000? | SELECT date FROM table_2015453_1 WHERE attendance = 22000 | SELECT "date" FROM "table_2015453_1" WHERE "attendance" = 22000 | 0.061523 |
CREATE TABLE table_2668329_25 (result VARCHAR, district VARCHAR)
| How many people won the election in the district of Virginia 4? | SELECT COUNT(result) FROM table_2668329_25 WHERE district = "Virginia 4" | SELECT COUNT("result") FROM "table_2668329_25" WHERE "Virginia 4" = "district" | 0.076172 |
CREATE TABLE table_name_81 (country VARCHAR, rank VARCHAR, time VARCHAR)
| Which country had a rank smaller than 7 and a time of 1:43.189? | SELECT country FROM table_name_81 WHERE rank < 7 AND time = "1:43.189" | SELECT "country" FROM "table_name_81" WHERE "1:43.189" = "time" AND "rank" < 7 | 0.076172 |
CREATE TABLE table_name_86 (grid INT, constructor VARCHAR, driver VARCHAR)
| Tell me the sum of the grid with alfa romeo and toulo de graffenried | SELECT SUM(grid) FROM table_name_86 WHERE constructor = "alfa romeo" AND driver = "toulo de graffenried" | SELECT SUM("grid") FROM "table_name_86" WHERE "alfa romeo" = "constructor" AND "driver" = "toulo de graffenried" | 0.109375 |
CREATE TABLE table_name_42 (home_team VARCHAR, match_no VARCHAR)
| Who is the Home Team for Match No. 23? | SELECT home_team FROM table_name_42 WHERE match_no = "23" | SELECT "home_team" FROM "table_name_42" WHERE "23" = "match_no" | 0.061523 |
CREATE TABLE table_22753439_1 (party VARCHAR, winner VARCHAR)
| What is every party with a winner of P. Chidambaram? | SELECT party AS a FROM table_22753439_1 WHERE winner = "P. Chidambaram" | SELECT "party" AS "a" FROM "table_22753439_1" WHERE "P. Chidambaram" = "winner" | 0.077148 |
CREATE TABLE table_65428 ("Season" TEXT, "1st round" TEXT, "2nd round" TEXT, "3rd round" TEXT, "Finals" TEXT)
| NAME THE Finals which has a 1st round of w, 3 1, mis? | SELECT "Finals" FROM table_65428 WHERE "1st round" = 'w, 3–1, mis' | SELECT "Finals" FROM "table_65428" WHERE "1st round" = 'w, 3–1, mis' | 0.066406 |
CREATE TABLE table_12340907_1 (population INT, police_officers VARCHAR)
| If the number of police officers is 94, what is the lowest population number? | SELECT MIN(population) FROM table_12340907_1 WHERE police_officers = 94 | SELECT MIN("population") FROM "table_12340907_1" WHERE "police_officers" = 94 | 0.075195 |
CREATE TABLE table_2238 ("No" FLOAT, "Season" FLOAT, "Ep" FLOAT, "Title" TEXT, "Writer" TEXT, "Director" TEXT, "Original airdate" TEXT, "Archive" TEXT)
| Name the number of writers for airdate of 15 july 1967 | SELECT COUNT("Writer") FROM table_2238 WHERE "Original airdate" = '15 July 1967' | SELECT COUNT("Writer") FROM "table_2238" WHERE "Original airdate" = '15 July 1967' | 0.080078 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| A scatter chart shows the correlation between School_ID and All_Games_Percent , and group by attribute ACC_Home. | SELECT School_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Home | SELECT "School_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "ACC_Home" | 0.081055 |
CREATE TABLE table_72723 ("Episode No." FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT)
| What is the production code for the episode written by Drew Z. Greenberg? | SELECT "Production code" FROM table_72723 WHERE "Written by" = 'Drew Z. Greenberg' | SELECT "Production code" FROM "table_72723" WHERE "Written by" = 'Drew Z. Greenberg' | 0.082031 |
CREATE TABLE enrollments (campus DECIMAL, year DECIMAL, totalenrollment_ay DECIMAL, fte_ay DECIMAL)
CREATE TABLE discipline_enrollments (campus DECIMAL, discipline DECIMAL, year DECIMAL, undergraduate DECIMAL, graduate DECIMAL)
CREATE TABLE csu_fees (campus DECIMAL, year DECIMAL, campusfee DECIMAL)
CREATE TABLE campuses (id DECIMAL, campus TEXT, location TEXT, county TEXT, year DECIMAL)
CREATE TABLE faculty (campus DECIMAL, year DECIMAL, faculty DECIMAL)
CREATE TABLE degrees (year DECIMAL, campus DECIMAL, degrees DECIMAL)
| Find the campus fee of 'San Jose State University' in year 2000. | SELECT t1.campusfee FROM csu_fees AS t1 JOIN campuses AS t2 ON t1.campus = t2.id WHERE t2.campus = "San Jose State University" AND t1.year = 2000 | SELECT "t1"."campusfee" FROM "csu_fees" AS "t1" JOIN "campuses" AS "t2" ON "San Jose State University" = "t2"."campus" AND "t1"."campus" = "t2"."id" WHERE "t1"."year" = 2000 | 0.168945 |
CREATE TABLE table_23292220_8 (jasons_team VARCHAR, seans_team VARCHAR)
| Who was on Jason's team in the episode where Sean's team was Reginald D. Hunter and Kelly Osbourne? | SELECT jasons_team FROM table_23292220_8 WHERE seans_team = "Reginald D. Hunter and Kelly Osbourne" | SELECT "jasons_team" FROM "table_23292220_8" WHERE "Reginald D. Hunter and Kelly Osbourne" = "seans_team" | 0.102539 |
CREATE TABLE table_14092 ("Japanese Title" TEXT, "Romaji Title" TEXT, "TV Station" TEXT, "Episodes" TEXT, "Average Ratings" TEXT)
| What's the Japanese title when the Romaji Title was Atsu-Hime? | SELECT "Japanese Title" FROM table_14092 WHERE "Romaji Title" = 'atsu-hime' | SELECT "Japanese Title" FROM "table_14092" WHERE "Romaji Title" = 'atsu-hime' | 0.075195 |
CREATE TABLE invoice_line_items (order_item_id DECIMAL, invoice_number DECIMAL, product_id DECIMAL, product_title TEXT, product_quantity TEXT, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE products (product_id DECIMAL, parent_product_id DECIMAL, production_type_code TEXT, unit_price DECIMAL, product_name TEXT, product_color TEXT, product_size TEXT)
CREATE TABLE financial_transactions (transaction_id DECIMAL, account_id DECIMAL, invoice_number DECIMAL, transaction_type TEXT, transaction_date TIME, transaction_amount DECIMAL, transaction_comment TEXT, other_transaction_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL, product_quantity TEXT, other_order_item_details TEXT)
CREATE TABLE product_categories (production_type_code TEXT, product_type_description TEXT, vat_rating DECIMAL)
CREATE TABLE accounts (account_id DECIMAL, customer_id DECIMAL, date_account_opened TIME, account_name TEXT, other_account_details TEXT)
CREATE TABLE customers (customer_id DECIMAL, customer_first_name TEXT, customer_middle_initial TEXT, customer_last_name TEXT, gender TEXT, email_address TEXT, login_name TEXT, login_password TEXT, phone_number TEXT, town_city TEXT, state_county_province TEXT, country TEXT)
CREATE TABLE invoices (invoice_number DECIMAL, order_id DECIMAL, invoice_date TIME)
CREATE TABLE orders (order_id DECIMAL, customer_id DECIMAL, date_order_placed TIME, order_details TEXT)
| Show the invoice number and the number of transactions for each invoice. | SELECT invoice_number, COUNT(*) FROM financial_transactions GROUP BY invoice_number | SELECT "invoice_number", COUNT(*) FROM "financial_transactions" GROUP BY "invoice_number" | 0.086914 |
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| how many hours have passed since patient 42473 was admitted for to the hospital? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', admissions.admittime)) FROM admissions WHERE admissions.subject_id = 42473 AND admissions.dischtime IS NULL | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "admissions"."admittime")) FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 42473 | 0.177734 |
CREATE TABLE table_203_756 (id DECIMAL, "year" DECIMAL, "title" TEXT, "role" TEXT, "network" TEXT, "notes" TEXT)
| role played at least twice | SELECT "role" FROM table_203_756 GROUP BY "role" HAVING COUNT(*) >= 2 | SELECT "role" FROM "table_203_756" GROUP BY "role" HAVING COUNT(*) >= 2 | 0.069336 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| find the number of office admitted patients who have lab test item id 50818. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND lab.itemid = "50818" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50818" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.21875 |
CREATE TABLE table_19191 ("Year" FLOAT, "League" TEXT, "Reg. Season" TEXT, "Playoffs" TEXT, "US Open Cup" TEXT, "Avg. Attendance" FLOAT)
| What was the regular season standings for the year when the playoffs reached the conference semifinals and the team did not qualify for the US Open Cup? | SELECT "Reg. Season" FROM table_19191 WHERE "Playoffs" = 'Conference Semifinals' AND "US Open Cup" = 'Did not qualify' | SELECT "Reg. Season" FROM "table_19191" WHERE "Playoffs" = 'Conference Semifinals' AND "US Open Cup" = 'Did not qualify' | 0.117188 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who did not have any job in the past, give me the comparison about the average of manager_id over the hire_date bin hire_date by time by a bar chart. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.120117 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is procedure long title of procedure icd9 code 9983? | SELECT procedures.long_title FROM procedures WHERE procedures.icd9_code = "9983" | SELECT "procedures"."long_title" FROM "procedures" WHERE "9983" = "procedures"."icd9_code" | 0.087891 |
CREATE TABLE artist (Artist_ID INT, Artist TEXT, Age INT, Famous_Title TEXT, Famous_Release_date TEXT)
CREATE TABLE music_festival (ID INT, Music_Festival TEXT, Date_of_ceremony TEXT, Category TEXT, Volume INT, Result TEXT)
CREATE TABLE volume (Volume_ID INT, Volume_Issue TEXT, Issue_Date TEXT, Weeks_on_Top FLOAT, Song TEXT, Artist_ID INT)
| A bar chart for returning the number of the categories of music festivals that have the result 'Awarded', and rank Category in descending order please. | SELECT Category, COUNT(Category) FROM music_festival WHERE Result = "Awarded" GROUP BY Category ORDER BY Category DESC | SELECT "Category", COUNT("Category") FROM "music_festival" WHERE "Awarded" = "Result" GROUP BY "Category" ORDER BY "Category" DESC NULLS LAST | 0.137695 |
CREATE TABLE table_name_56 (sport VARCHAR, games VARCHAR, event VARCHAR)
| What sport in the 1960 Rome Games did Pakistan play in the Men's Freestyle Welterweight? | SELECT sport FROM table_name_56 WHERE games = "1960 rome" AND event = "men's freestyle welterweight" | SELECT "sport" FROM "table_name_56" WHERE "1960 rome" = "games" AND "event" = "men's freestyle welterweight" | 0.105469 |
CREATE TABLE table_21566 ("1391 Carelia" TEXT, "1398 Donnera" TEXT, "1405 Sibelius" TEXT, "1406 Komppa" TEXT, "1407 Lindel\\u00f6f" TEXT)
| what is the 1406 komppa of asteroid which 1391 carelia is 1460 haltia | SELECT "1406 Komppa" FROM table_21566 WHERE "1391 Carelia" = '1460 Haltia' | SELECT "1406 Komppa" FROM "table_21566" WHERE "1391 Carelia" = '1460 Haltia' | 0.074219 |
CREATE TABLE table_63682 ("Heat" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
| What is the Name of the swimmer with a Time of 9:04.86 in Heat 2? | SELECT "Name" FROM table_63682 WHERE "Heat" = '2' AND "Time" = '9:04.86' | SELECT "Name" FROM "table_63682" WHERE "Heat" = '2' AND "Time" = '9:04.86' | 0.072266 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For all employees who have the letters D or S in their first name, give me the comparison about the sum of salary over the hire_date bin hire_date by weekday. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.104492 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Has_amenity (dormid INT, amenid INT)
CREATE TABLE Dorm (dormid INT, dorm_name VARCHAR, student_capacity INT, gender VARCHAR)
CREATE TABLE Dorm_amenity (amenid INT, amenity_name VARCHAR)
CREATE TABLE Lives_in (stuid INT, dormid INT, room_number INT)
| How many dorms are there for each gender? Show me a bar chart, I want to list from high to low by the y-axis. | SELECT gender, COUNT(*) FROM Dorm GROUP BY gender ORDER BY COUNT(*) DESC | SELECT "gender", COUNT(*) FROM "Dorm" GROUP BY "gender" ORDER BY COUNT(*) DESC NULLS LAST | 0.086914 |
CREATE TABLE table_3323 ("Episode #" TEXT, "Fan Title" TEXT, "Writer" TEXT, "Artist ( s ) " TEXT, "Start Date" TEXT, "End Date" TEXT, "Inc. Dailies?" TEXT, "Inc. Sundays?" TEXT)
| What is the fan title with an end date of 1967-11-12? | SELECT "Fan Title" FROM table_3323 WHERE "End Date" = '1967-11-12' | SELECT "Fan Title" FROM "table_3323" WHERE "End Date" = '1967-11-12' | 0.066406 |
CREATE TABLE table_25548505_1 (production_code VARCHAR, directed_by VARCHAR)
| What is the production code of the episode directed by Michael McDonald? | SELECT production_code FROM table_25548505_1 WHERE directed_by = "Michael McDonald" | SELECT "production_code" FROM "table_25548505_1" WHERE "Michael McDonald" = "directed_by" | 0.086914 |
CREATE TABLE table_name_59 (general_classification VARCHAR, points_classification VARCHAR, stage VARCHAR)
| What is the general classification at stage 18 that has a points classification of Tony Rominger? | SELECT general_classification FROM table_name_59 WHERE points_classification = "tony rominger" AND stage = "18" | SELECT "general_classification" FROM "table_name_59" WHERE "18" = "stage" AND "points_classification" = "tony rominger" | 0.116211 |
CREATE TABLE table_28137918_5 (births INT, conversions VARCHAR)
| Name the least births for conversion being 26,333 | SELECT MIN(births) FROM table_28137918_5 WHERE conversions = "26,333" | SELECT MIN("births") FROM "table_28137918_5" WHERE "26,333" = "conversions" | 0.073242 |
CREATE TABLE table_name_79 (location_attendance VARCHAR, record VARCHAR)
| What was the location/attendance for the game with a record of 16-6? | SELECT location_attendance FROM table_name_79 WHERE record = "16-6" | SELECT "location_attendance" FROM "table_name_79" WHERE "16-6" = "record" | 0.071289 |
CREATE TABLE table_6415 ("Rank" FLOAT, "Airport" TEXT, "Code ( IATA/ICAO ) " TEXT, "Total Cargo ( Metric Tonnes ) " FLOAT, "% Change" TEXT)
| What is the highest rank for the airport with a code of HKG/VHHH? | SELECT MAX("Rank") FROM table_6415 WHERE "Code (IATA/ICAO)" = 'hkg/vhhh' | SELECT MAX("Rank") FROM "table_6415" WHERE "Code (IATA/ICAO)" = 'hkg/vhhh' | 0.072266 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| what is the minimum cost of the entire hospital that involves the phenobarbital during a year before? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'phenobarbital')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "lab"."patientunitstayid" FROM "lab" WHERE "lab"."labname" = 'phenobarbital' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MIN("t1"."c1") FROM "t1" AS "t1" | 0.674805 |
CREATE TABLE table_name_10 (year INT, publication VARCHAR)
| What is the publication the observer music monthly highest year? | SELECT MAX(year) FROM table_name_10 WHERE publication = "the observer music monthly" | SELECT MAX("year") FROM "table_name_10" WHERE "publication" = "the observer music monthly" | 0.087891 |
CREATE TABLE table_14166 ("Debut year" FLOAT, "Player" TEXT, "Games" FLOAT, "Goals" FLOAT, "Years at club" TEXT)
| 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_203_608 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
| how many countries have at least one gold medal ? | SELECT COUNT("nation") FROM table_203_608 WHERE "gold" >= 1 | SELECT COUNT("nation") FROM "table_203_608" WHERE "gold" >= 1 | 0.05957 |
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
| What courses on Tech Phys Instructn have no prerequisites ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id WHERE (area.area LIKE '%Tech Phys Instructn%' OR course.description LIKE '%Tech Phys Instructn%' OR course.name LIKE '%Tech Phys Instructn%') AND course.enforced_requirement = 'N / A' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Tech Phys Instructn%' OR "course"."description" LIKE '%Tech Phys Instructn%' OR "course"."name" LIKE '%Tech Phys Instructn%') AND "area"."course_id" = "course"."course_id" WHERE "course"."enforced_requirement" = 'N / A' | 0.335938 |
CREATE TABLE table_41484 ("Date" TEXT, "Location" TEXT, "Country" TEXT, "Event" TEXT, "Winner" TEXT, "Runner-up" TEXT)
| Who was the winner from the Rip Curl Pro Search? | SELECT "Winner" FROM table_41484 WHERE "Event" = 'rip curl pro search' | SELECT "Winner" FROM "table_41484" WHERE "Event" = 'rip curl pro search' | 0.070313 |
CREATE TABLE table_2291 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directedby" TEXT, "Writtenby" TEXT, "Originalairdate" TEXT, "Production code" TEXT, "U.S. viewers ( million ) " TEXT)
| When did the episode titled 'family recipe' originally air? | SELECT "Originalairdate" FROM table_2291 WHERE "Title" = 'Family Recipe' | SELECT "Originalairdate" FROM "table_2291" WHERE "Title" = 'Family Recipe' | 0.072266 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Question migrated from site X. | SELECT ph.PostId AS "post_link", ph.CreationDate AS "Migrated on" FROM PostHistory AS ph INNER JOIN Posts AS p ON ph.PostId = p.Id WHERE ph.PostHistoryTypeId = 36 AND ph.Comment LIKE 'from https://' + '##domain:string##' + '/%' AND p.PostTypeId = 1 ORDER BY ph.CreationDate DESC | SELECT "ph"."PostId" AS "post_link", "ph"."CreationDate" AS "Migrated on" FROM "PostHistory" AS "ph" JOIN "Posts" AS "p" ON "p"."Id" = "ph"."PostId" AND "p"."PostTypeId" = 1 WHERE "ph"."Comment" LIKE 'from https://##domain:string##/%' AND "ph"."PostHistoryTypeId" = 36 ORDER BY "ph"."CreationDate" DESC NULLS LAST | 0.305664 |
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
| select Id , location, reputation from users. | SELECT Id, Location, Reputation FROM Users | SELECT "Id", "Location", "Reputation" FROM "Users" | 0.048828 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
| list UA flights from DENVER to SAN FRANCISCO on WEDNESDAY | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND days.day_name = 'WEDNESDAY' AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'UA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'UA' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "days" ON "days"."day_name" = 'WEDNESDAY' AND "days"."days_code" = "flight"."flight_days" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.625977 |
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
| What is the size of 542 ? | SELECT DISTINCT num_enrolled FROM course WHERE department = 'EECS' AND number = 542 | SELECT DISTINCT "num_enrolled" FROM "course" WHERE "department" = 'EECS' AND "number" = 542 | 0.088867 |
CREATE TABLE Student (StuID VARCHAR, advisor VARCHAR)
CREATE TABLE Faculty (FacID VARCHAR, rank VARCHAR)
| Show the ids of students whose advisors are professors. | SELECT T2.StuID FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T1.rank = "Professor" | SELECT "T2"."StuID" FROM "Faculty" AS "T1" JOIN "Student" AS "T2" ON "T1"."FacID" = "T2"."advisor" WHERE "Professor" = "T1"."rank" | 0.126953 |
CREATE TABLE table_1745843_5 (class VARCHAR, part_2 VARCHAR)
| What is the class of the word who's second participle is laug? | SELECT class FROM table_1745843_5 WHERE part_2 = "laug" | SELECT "class" FROM "table_1745843_5" WHERE "laug" = "part_2" | 0.05957 |
CREATE TABLE customers (id DECIMAL, first_name TEXT, last_name TEXT, company TEXT, address TEXT, city TEXT, state TEXT, country TEXT, postal_code TEXT, phone TEXT, fax TEXT, email TEXT, support_rep_id DECIMAL)
CREATE TABLE playlists (id DECIMAL, name TEXT)
CREATE TABLE genres (id DECIMAL, name TEXT)
CREATE TABLE artists (id DECIMAL, name TEXT)
CREATE TABLE invoices (id DECIMAL, customer_id DECIMAL, invoice_date TIME, billing_address TEXT, billing_city TEXT, billing_state TEXT, billing_country TEXT, billing_postal_code TEXT, total DECIMAL)
CREATE TABLE playlist_tracks (playlist_id DECIMAL, track_id DECIMAL)
CREATE TABLE invoice_lines (id DECIMAL, invoice_id DECIMAL, track_id DECIMAL, unit_price DECIMAL, quantity DECIMAL)
CREATE TABLE media_types (id DECIMAL, name TEXT)
CREATE TABLE sqlite_sequence (name TEXT, seq TEXT)
CREATE TABLE employees (id DECIMAL, last_name TEXT, first_name TEXT, title TEXT, reports_to DECIMAL, birth_date TIME, hire_date TIME, address TEXT, city TEXT, state TEXT, country TEXT, postal_code TEXT, phone TEXT, fax TEXT, email TEXT)
CREATE TABLE albums (id DECIMAL, title TEXT, artist_id DECIMAL)
CREATE TABLE tracks (id DECIMAL, name TEXT, album_id DECIMAL, media_type_id DECIMAL, genre_id DECIMAL, composer TEXT, milliseconds DECIMAL, bytes DECIMAL, unit_price DECIMAL)
| What is the title of the album that was released by the artist whose name has the phrase 'Led'? | SELECT T2.title FROM artists AS T1 JOIN albums AS T2 ON T1.id = T2.artist_id WHERE T1.name LIKE '%Led%' | SELECT "T2"."title" FROM "artists" AS "T1" JOIN "albums" AS "T2" ON "T1"."id" = "T2"."artist_id" WHERE "T1"."name" LIKE '%Led%' | 0.124023 |
CREATE TABLE table_name_56 (losses INT, team VARCHAR, goals_against VARCHAR)
| What is the sum of the losses by the Montreal Hockey Club, who have more than 15 Goals Against? | SELECT SUM(losses) FROM table_name_56 WHERE team = "montreal hockey club" AND goals_against > 15 | SELECT SUM("losses") FROM "table_name_56" WHERE "goals_against" > 15 AND "montreal hockey club" = "team" | 0.101563 |
CREATE TABLE table_name_47 (pick INT, round VARCHAR, overall VARCHAR)
| How many picks had a round smaller than 6 and an overall bigger than 153? | SELECT SUM(pick) FROM table_name_47 WHERE round < 6 AND overall > 153 | SELECT SUM("pick") FROM "table_name_47" WHERE "overall" > 153 AND "round" < 6 | 0.075195 |
CREATE TABLE table_13304 ("Period" TEXT, "Internet Explorer" TEXT, "Firefox" TEXT, "Safari" TEXT, "Opera" TEXT, "Netscape" TEXT, "Other Mozilla" TEXT)
| What percentage of users were using Firefox during the period in which *0.77% were using Netscape? | SELECT "Firefox" FROM table_13304 WHERE "Netscape" = '*0.77%' | SELECT "Firefox" FROM "table_13304" WHERE "Netscape" = '*0.77%' | 0.061523 |
CREATE TABLE table_name_62 (tournament VARCHAR)
| What was the 2012 finish in the US Open? | SELECT 2012 FROM table_name_62 WHERE tournament = "us open" | SELECT 2012 FROM "table_name_62" WHERE "tournament" = "us open" | 0.061523 |
CREATE TABLE table_32025 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
| When there was a draw, what was the time? | SELECT "Time" FROM table_32025 WHERE "Res." = 'draw' | SELECT "Time" FROM "table_32025" WHERE "Res." = 'draw' | 0.052734 |
CREATE TABLE Staff (Staff_ID INT, Tourist_Attraction_ID INT, Name VARCHAR, Other_Details VARCHAR)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID INT, Attraction_Type_Code CHAR, Location_ID INT, How_to_Get_There VARCHAR, Name VARCHAR, Description VARCHAR, Opening_Hours VARCHAR, Other_Details VARCHAR)
CREATE TABLE Locations (Location_ID INT, Location_Name VARCHAR, Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Ref_Attraction_Types (Attraction_Type_Code CHAR, Attraction_Type_Description VARCHAR)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID INT, Feature_ID INT)
CREATE TABLE Visits (Visit_ID INT, Tourist_Attraction_ID INT, Tourist_ID INT, Visit_Date DATETIME, Visit_Details VARCHAR)
CREATE TABLE Visitors (Tourist_ID INT, Tourist_Details VARCHAR)
CREATE TABLE Theme_Parks (Theme_Park_ID INT, Theme_Park_Details VARCHAR)
CREATE TABLE Shops (Shop_ID INT, Shop_Details VARCHAR)
CREATE TABLE Street_Markets (Market_ID INT, Market_Details VARCHAR)
CREATE TABLE Photos (Photo_ID INT, Tourist_Attraction_ID INT, Name VARCHAR, Description VARCHAR, Filename VARCHAR, Other_Details VARCHAR)
CREATE TABLE Ref_Hotel_Star_Ratings (star_rating_code CHAR, star_rating_description VARCHAR)
CREATE TABLE Museums (Museum_ID INT, Museum_Details VARCHAR)
CREATE TABLE Features (Feature_ID INT, Feature_Details VARCHAR)
CREATE TABLE Royal_Family (Royal_Family_ID INT, Royal_Family_Details VARCHAR)
CREATE TABLE Hotels (hotel_id INT, star_rating_code CHAR, pets_allowed_yn CHAR, price_range FLOAT, other_hotel_details VARCHAR)
| Show the number of visit date from each visit date | SELECT Visit_Date, COUNT(Visit_Date) FROM Visits | SELECT "Visit_Date", COUNT("Visit_Date") FROM "Visits" | 0.052734 |
CREATE TABLE table_77361 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " FLOAT)
| what is the most money ($) when the score is 71-74-69-72=286? | SELECT MAX("Money ( $ )") FROM table_77361 WHERE "Score" = '71-74-69-72=286' | SELECT MAX("Money ( $ )") FROM "table_77361" WHERE "Score" = '71-74-69-72=286' | 0.076172 |
CREATE TABLE wrestler (Wrestler_ID INT, Name TEXT, Reign TEXT, Days_held TEXT, Location TEXT, Event TEXT)
CREATE TABLE Elimination (Elimination_ID TEXT, Wrestler_ID TEXT, Team TEXT, Eliminated_By TEXT, Elimination_Move TEXT, Time TEXT)
| Show different teams in eliminations and the number of eliminations from each team by a pie chart. | SELECT Team, COUNT(*) FROM Elimination GROUP BY Team | SELECT "Team", COUNT(*) FROM "Elimination" GROUP BY "Team" | 0.056641 |
CREATE TABLE table_name_3 (round VARCHAR, res VARCHAR, event VARCHAR)
| What round did he win rof 29: aftershock in? | SELECT round FROM table_name_3 WHERE res = "win" AND event = "rof 29: aftershock" | SELECT "round" FROM "table_name_3" WHERE "event" = "rof 29: aftershock" AND "res" = "win" | 0.086914 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
| show flights between TORONTO and SAN FRANCISCO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'TORONTO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'TORONTO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.5 |
CREATE TABLE table_name_16 (city___state VARCHAR, circuit VARCHAR)
| What's the city/state of Hidden Valley Raceway? | SELECT city___state FROM table_name_16 WHERE circuit = "hidden valley raceway" | SELECT "city___state" FROM "table_name_16" WHERE "circuit" = "hidden valley raceway" | 0.082031 |
CREATE TABLE table_name_86 (rank VARCHAR, rider VARCHAR)
| What was Tom Silver's rank? | SELECT rank FROM table_name_86 WHERE rider = "tom silver" | SELECT "rank" FROM "table_name_86" WHERE "rider" = "tom silver" | 0.061523 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
| what was the number of drugs patient 30509 was prescribed until 1 year ago? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30509) AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-1 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 30509 GROUP BY "hadm_id") SELECT COUNT(*) FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_0"."" IS NULL | 0.329102 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| what was patient 016-27397's intake for the first time on 12/26/this year? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-27397')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', intakeoutput.intakeoutputtime) = '12-26' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-27397' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "intakeoutput"."intakeoutputtime") = '12-26' ORDER BY "intakeoutput"."intakeoutputtime" NULLS FIRST LIMIT 1 | 0.792969 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
| what were the four most frequently prescribed drugs at the same time, since 4 years ago, among the patients who were prescribed with heparin flush port (10units/ml)? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'heparin flush port (10units/ml)' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-4 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'heparin flush port (10units/ml)' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4 | 0.805664 |
CREATE TABLE table_name_32 (game INT, november VARCHAR)
| Which Game has a November of 22? | SELECT SUM(game) FROM table_name_32 WHERE november = 22 | SELECT SUM("game") FROM "table_name_32" WHERE "november" = 22 | 0.05957 |
CREATE TABLE table_name_63 (no_result INT, matches VARCHAR, wins VARCHAR)
| How many total No Results occured when the team had less than 46 wins and more than 16 matches? | SELECT SUM(no_result) FROM table_name_63 WHERE matches > 16 AND wins < 46 | SELECT SUM("no_result") FROM "table_name_63" WHERE "matches" > 16 AND "wins" < 46 | 0.079102 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is the number of patients whose year of birth is less than 2146 and diagnoses short title is skin disorders nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dob_year < "2146" AND diagnoses.short_title = "Skin disorders NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Skin disorders NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2146" > "demographic"."dob_year" | 0.223633 |
CREATE TABLE table_23276 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| What party got elected in Florida 9 district? | SELECT "Party" FROM table_23276 WHERE "District" = 'Florida 9' | SELECT "Party" FROM "table_23276" WHERE "District" = 'Florida 9' | 0.0625 |
CREATE TABLE table_name_41 (club_province VARCHAR, player VARCHAR)
| Which Club/province has a Player of david penalva? | SELECT club_province FROM table_name_41 WHERE player = "david penalva" | SELECT "club_province" FROM "table_name_41" WHERE "david penalva" = "player" | 0.074219 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| for the patients with age 20s since 2103 what are the top three most frequent diagnoses? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 20 AND 29) AND STRFTIME('%y', diagnoses_icd.charttime) >= '2103' GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 3) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 29 AND "admissions"."age" >= 20 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "diagnoses_icd"."charttime") >= '2103' GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.706055 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Draw a scatterplot of team id vs all_games_percent where team id is on the x-axis and points are colored by All_Neutral | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY All_Neutral | SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Neutral" | 0.082031 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| when did patient 47460 receive a inject into thorax cavit procedure for the first time on their last hospital visit? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'inject into thorax cavit') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 47460 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) ORDER BY procedures_icd.charttime LIMIT 1 | SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'inject into thorax cavit' WHERE "procedures_icd"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 47460 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1) ORDER BY "procedures_icd"."charttime" NULLS FIRST LIMIT 1 | 0.483398 |
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
| what flights are there between NASHVILLE and ST. LOUIS which are nonstop and arrive after 1200 and before 2000 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (((flight.arrival_time <= 2000 AND flight.arrival_time >= 1200) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. LOUIS' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NASHVILLE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.stops = 0 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'NASHVILLE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."arrival_time" <= 2000 AND "flight"."arrival_time" >= 1200 AND "flight"."stops" = 0 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ST. LOUIS' | 0.592773 |
CREATE TABLE table_6695 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Time" TEXT, "Att." TEXT, "Record" TEXT)
| What was the time of the game on April 5? | SELECT "Time" FROM table_6695 WHERE "Date" = 'april 5' | SELECT "Time" FROM "table_6695" WHERE "Date" = 'april 5' | 0.054688 |
CREATE TABLE table_18757 ("Frequency" TEXT, "Call sign" TEXT, "Name" TEXT, "Format" TEXT, "Owner" TEXT, "Target city/ market" TEXT, "City of license" TEXT)
| What is the target market for the station on 97.9 fm? | SELECT "Target city/ market" FROM table_18757 WHERE "Frequency" = '97.9 FM' | SELECT "Target city/ market" FROM "table_18757" WHERE "Frequency" = '97.9 FM' | 0.075195 |
CREATE TABLE table_name_90 (player VARCHAR, country VARCHAR, score VARCHAR)
| What player is from Scotland and has a score of 74-70=144? | SELECT player FROM table_name_90 WHERE score = 74 - 70 = 144 AND country = "scotland" | SELECT "player" FROM "table_name_90" WHERE "country" = "scotland" AND "score" = FALSE | 0.083008 |
CREATE TABLE table_73257 ("Name" TEXT, "Nationality" TEXT, "from" FLOAT, "to" TEXT, "League Apps" FLOAT, "League Goals" FLOAT, "Finals Apps" FLOAT, "Finals Goals" FLOAT, "Position" TEXT)
| Name the mosst finals apps | SELECT MAX("Finals Apps") FROM table_73257 | SELECT MAX("Finals Apps") FROM "table_73257" | 0.042969 |
CREATE TABLE table_37316 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT)
| What were the points for that had a game where there was 678 against? | SELECT "Points for" FROM table_37316 WHERE "Points against" = '678' | SELECT "Points for" FROM "table_37316" WHERE "Points against" = '678' | 0.067383 |
CREATE TABLE table_name_94 (outcome VARCHAR, partner VARCHAR)
| What is the outcome of the match when the partner is Nicole Arendt? | SELECT outcome FROM table_name_94 WHERE partner = "nicole arendt" | SELECT "outcome" FROM "table_name_94" WHERE "nicole arendt" = "partner" | 0.069336 |
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what age does patient 95892 have in this hospital encounter? | SELECT admissions.age FROM admissions WHERE admissions.subject_id = 95892 AND admissions.dischtime IS NULL | SELECT "admissions"."age" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 95892 | 0.117188 |
CREATE TABLE table_50230 ("Name" TEXT, "Country" TEXT, "Date of birth" TEXT, "Debut" TEXT, "Last match" TEXT, "Age as of 1 February 2014" TEXT)
| What is the Pananmal Punjabi's date of birth? | SELECT "Date of birth" FROM table_50230 WHERE "Name" = 'pananmal punjabi' | SELECT "Date of birth" FROM "table_50230" WHERE "Name" = 'pananmal punjabi' | 0.073242 |
CREATE TABLE table_name_76 (to_par VARCHAR, player VARCHAR)
| What is Sandy Lyle's To Par? | SELECT to_par FROM table_name_76 WHERE player = "sandy lyle" | SELECT "to_par" FROM "table_name_76" WHERE "player" = "sandy lyle" | 0.064453 |
CREATE TABLE table_13857700_1 (mens_singles VARCHAR, mens_doubles VARCHAR)
| who is the the mens singles with mens doubles being kaj lindfors kaj osterberg | SELECT mens_singles FROM table_13857700_1 WHERE mens_doubles = "Kaj Lindfors Kaj Osterberg" | SELECT "mens_singles" FROM "table_13857700_1" WHERE "Kaj Lindfors Kaj Osterberg" = "mens_doubles" | 0.094727 |
CREATE TABLE table_2039 ("Province" TEXT, "Arabs 2001" FLOAT, "% 2001" TEXT, "Arabs 2011" FLOAT, "% 2011" TEXT)
| If the province is British Columbia, what is the Arabs 2001 total number? | SELECT COUNT("Arabs 2001") FROM table_2039 WHERE "Province" = 'British Columbia' | SELECT COUNT("Arabs 2001") FROM "table_2039" WHERE "Province" = 'British Columbia' | 0.080078 |
CREATE TABLE table_name_25 (heat_ VARCHAR, _lane VARCHAR, name VARCHAR)
| What heat and what lane is thi hue pham in? | SELECT heat_ & _lane FROM table_name_25 WHERE name = "thi hue pham" | SELECT "heat_" & "_lane" FROM "table_name_25" WHERE "name" = "thi hue pham" | 0.073242 |
CREATE TABLE table_74372 ("Rank" FLOAT, "Rider" TEXT, "Mon 30 May" TEXT, "Tues 31 May" TEXT, "Wed 1 June" TEXT, "Thurs 2 June" TEXT, "Fri 3 June" TEXT)
| What is the Fri 3 June time for the rider with a Weds 1 June time of 18' 22.66 123.182mph? | SELECT "Fri 3 June" FROM table_74372 WHERE "Wed 1 June" = '18'' 22.66 123.182mph' | SELECT "Fri 3 June" FROM "table_74372" WHERE "Wed 1 June" = '18\' 22.66 123.182mph' | 0.081055 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| tell me the name of the drug that patient 58649 was prescribed within the same hospital visit after having received a lt heart angiocardiogram procedure in 08/last year. | SELECT t2.drug FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 58649 AND procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'lt heart angiocardiogram') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', procedures_icd.charttime) = '08') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 58649 AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', prescriptions.startdate) = '08') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 58649 WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', "prescriptions"."startdate") = '08') SELECT "t2"."drug" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'lt heart angiocardiogram' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" AND "admissions"."subject_id" = 58649 JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', "procedures_icd"."charttime") = '08' | 1.043945 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
| how many patients this year were staying at ward 425? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.wardid = 425 AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE "patient"."wardid" = 425 AND DATETIME("patient"."unitadmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | 0.197266 |
CREATE TABLE table_name_34 (score VARCHAR, total_points VARCHAR)
| What was the score where the total points was 50? | SELECT score FROM table_name_34 WHERE total_points = 50 | SELECT "score" FROM "table_name_34" WHERE "total_points" = 50 | 0.05957 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| what was the total amount of input that patient 027-81062 received since 1038 days ago? | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-81062')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-1038 day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-81062' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime") >= DATETIME(CURRENT_TIME(), '-1038 day') AND NOT "_u_1"."" IS NULL | 0.647461 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| has patient 033-9204 ever had a respiration of greater than 10.0 on last month/26? | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-9204')) AND vitalperiodic.respiration > 10.0 AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', vitalperiodic.observationtime) = '26' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '033-9204' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."respiration" > 10.0 AND DATETIME("vitalperiodic"."observationtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL AND STRFTIME('%d', "vitalperiodic"."observationtime") = '26' | 0.755859 |
CREATE TABLE table_22385461_6 (start___utc__ VARCHAR, end__utc_ VARCHAR)
| What is the start date and time of the walk that ends March 28, 2005, 11:31? | SELECT start___utc__ FROM table_22385461_6 WHERE end__utc_ = "March 28, 2005, 11:31" | SELECT "start___utc__" FROM "table_22385461_6" WHERE "March 28, 2005, 11:31" = "end__utc_" | 0.087891 |
CREATE TABLE table_32868 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the crowd size when the home team scored 10.10 (70)? | SELECT "Crowd" FROM table_32868 WHERE "Home team score" = '10.10 (70)' | SELECT "Crowd" FROM "table_32868" WHERE "Home team score" = '10.10 (70)' | 0.070313 |
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
| i need information on ground transportation between airport and downtown in the city of BOS | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'BOSTON' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" AS "CITY_0" ON "CITY_0"."city_code" = "ground_service"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "city" AS "CITY_1" ON "CITY_1"."city_code" = "airport_service"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.454102 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| Find out the age and preferred language for the patient with patient id 2560. | SELECT demographic.age, demographic.language FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."age", "demographic"."language" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.110352 |
CREATE TABLE table_64270 ("Period" TEXT, "Internet Explorer" TEXT, "Chrome" TEXT, "Firefox" TEXT, "Safari" TEXT, "Opera" TEXT, "Other Mozilla" TEXT)
| What internet explorer has 7.89% as the safari, and 8.22% as the chrome? | SELECT "Internet Explorer" FROM table_64270 WHERE "Safari" = '7.89%' AND "Chrome" = '8.22%' | SELECT "Internet Explorer" FROM "table_64270" WHERE "Chrome" = '8.22%' AND "Safari" = '7.89%' | 0.09082 |
CREATE TABLE table_204_971 (id DECIMAL, "m" DECIMAL, "date" TEXT, "tournament" TEXT, "round" TEXT, "ground" TEXT, "opponent" TEXT, "score" TEXT, "attendance" DECIMAL, "dinamo scorers" TEXT, "report" TEXT)
| how many games were attended by at least 8,000 people ? | SELECT COUNT(*) FROM table_204_971 WHERE "attendance" >= 8000 | SELECT COUNT(*) FROM "table_204_971" WHERE "attendance" >= 8000 | 0.061523 |
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