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CREATE TABLE table_53963 ("NGC number" FLOAT, "Object type" CLOB, "Constellation" CLOB, "Right ascension ( J2000 ) " CLOB, "Declination ( J2000 ) " CLOB)
| What type of object has an NGC number higher than 2090 and has a right ascension (J2000) of 05h52m19s? | SELECT "Object type" FROM table_53963 WHERE "NGC number" > '2090' AND "Right ascension ( J2000 )" = '05h52m19s' | SELECT "Object type" FROM "table_53963" WHERE "NGC number" > '2090' AND "Right ascension ( J2000 )" = '05h52m19s' | 0.110352 |
CREATE TABLE table_name_9 (away_team VARCHAR2, home_team VARCHAR2)
| What was home team Essendon's opponents score? | SELECT away_team AS score FROM table_name_9 WHERE home_team = "essendon" | SELECT "away_team" AS "score" FROM "table_name_9" WHERE "essendon" = "home_team" | 0.078125 |
CREATE TABLE election (Election_ID NUMBER, Counties_Represented CLOB, District NUMBER, Delegate CLOB, Party NUMBER, First_Elected FLOAT, Committee CLOB)
CREATE TABLE county (County_Id NUMBER, County_name CLOB, Population FLOAT, Zip_code CLOB)
CREATE TABLE party (Party_ID NUMBER, Year FLOAT, Party CLOB, Governor CLOB, Lieutenant_Governor CLOB, Comptroller CLOB, Attorney_General CLOB, US_Senate CLOB)
| Show the name of each party and the corresponding number of delegates from that party in a bar chart, order by the the average of count(*) from low to high please. | SELECT T2.Party, AVG(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY AVG(COUNT(*)) | SELECT "T2"."Party", AVG(COUNT(*)) FROM "election" "T1" JOIN "party" "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" ORDER BY AVG(COUNT(*)) | 0.148438 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is minimum days of hospital stay of patients whose primary disease is newborn? | SELECT MIN(demographic.days_stay) FROM demographic WHERE demographic.diagnosis = "NEWBORN" | SELECT MIN("demographic"."days_stay") FROM "demographic" WHERE "NEWBORN" = "demographic"."diagnosis" | 0.097656 |
CREATE TABLE table_name_10 (grid NUMBER, constructor VARCHAR2, time_retired VARCHAR2)
| What is the average grid number with a ferrari and a time or retired time of 1:32:35.101? | SELECT AVG(grid) FROM table_name_10 WHERE constructor = "ferrari" AND time_retired = "1:32:35.101" | SELECT AVG("grid") FROM "table_name_10" WHERE "1:32:35.101" = "time_retired" AND "constructor" = "ferrari" | 0.103516 |
CREATE TABLE table_name_62 (population__percentage_1971 VARCHAR2, population__percentage_1981 VARCHAR2)
| For the group with 1.92% population in 1981, what was their percentage of the population in 1971? | SELECT population__percentage_1971 FROM table_name_62 WHERE population__percentage_1981 = "1.92%" | SELECT "population__percentage_1971" FROM "table_name_62" WHERE "1.92%" = "population__percentage_1981" | 0.100586 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| out of total number of patients tested for indirect bilirubin, calculate the number of those aged below 50. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "50" AND lab.label = "Bilirubin, Indirect" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Bilirubin, Indirect" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "50" > "demographic"."age" | 0.194336 |
CREATE TABLE table_10015132_11 (player VARCHAR2, position VARCHAR2, years_in_toronto VARCHAR2)
| What player played guard for toronto in 1996-97? | SELECT player FROM table_10015132_11 WHERE position = "Guard" AND years_in_toronto = "1996-97" | SELECT "player" FROM "table_10015132_11" WHERE "1996-97" = "years_in_toronto" AND "Guard" = "position" | 0.099609 |
CREATE TABLE table_21350934_2 (venue VARCHAR2, opponent VARCHAR2, date VARCHAR2)
| Which venue has bradford bulls as the opponent on the date of 06/09/2009? | SELECT venue FROM table_21350934_2 WHERE opponent = "Bradford Bulls" AND date = "06/09/2009" | SELECT "venue" FROM "table_21350934_2" WHERE "06/09/2009" = "date" AND "Bradford Bulls" = "opponent" | 0.097656 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| count the number of people who were diagnosed with lung contusion-open and didn't come back to the hospital within 2 months. | SELECT (SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'lung contusion-open')) AS t1) - (SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'lung contusion-open')) AS t2 JOIN admissions ON t2.subject_id = admissions.subject_id WHERE t2.charttime < admissions.admittime AND DATETIME(admissions.admittime) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month')) | WITH "_u_0" AS (SELECT "d_icd_diagnoses"."icd9_code" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'lung contusion-open') SELECT (SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" "_u_0" ON "_u_0"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id") - (SELECT COUNT(DISTINCT "admissions_2"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" "_u_2" ON "_u_2"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" "admissions_2" ON "admissions_2"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "admissions" ON "admissions"."admittime" > "diagnoses_icd"."charttime" AND "admissions"."subject_id" = "admissions_2"."subject_id" AND DATETIME("admissions"."admittime") <= DATETIME("diagnoses_icd"."charttime", '+2 month') AND DATETIME("admissions"."admittime") >= DATETIME("diagnoses_icd"."charttime")) | 0.882813 |
CREATE TABLE table_3862 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| How many entries are shown for high points when the score was l 87 89 (ot)? | SELECT COUNT("High points") FROM table_3862 WHERE "Score" = 'L 87–89 (OT)' | SELECT COUNT("High points") FROM "table_3862" WHERE "Score" = 'L 87–89 (OT)' | 0.074219 |
CREATE TABLE table_name_6 (bronze VARCHAR2, location VARCHAR2, year VARCHAR2)
| What is listed for the Bronze, with the Location of Bangkok, and the Year of 1978? | SELECT bronze FROM table_name_6 WHERE location = "bangkok" AND year = 1978 | SELECT "bronze" FROM "table_name_6" WHERE "bangkok" = "location" AND "year" = 1978 | 0.080078 |
CREATE TABLE table_name_18 (city VARCHAR2, prize VARCHAR2)
| What is City, when Prize is '$146,000'? | SELECT city FROM table_name_18 WHERE prize = "$146,000" | SELECT "city" FROM "table_name_18" WHERE "$146,000" = "prize" | 0.05957 |
CREATE TABLE table_2196 ("Episode" CLOB, "First broadcast" CLOB, "Rufus guest" CLOB, "Marcus guest" CLOB, "Winner" CLOB)
| What is the resulting score for the episodes where Rufus's guest is Sean Lock? | SELECT "Winner" FROM table_2196 WHERE "Rufus guest" = 'Sean Lock' | SELECT "Winner" FROM "table_2196" WHERE "Rufus guest" = 'Sean Lock' | 0.06543 |
CREATE TABLE climber (Climber_ID NUMBER, Name CLOB, Country CLOB, Time CLOB, Points FLOAT, Mountain_ID NUMBER)
CREATE TABLE mountain (Mountain_ID NUMBER, Name CLOB, Height FLOAT, Prominence FLOAT, Range CLOB, Country CLOB)
| Display a pie chart for how many climbers are from each country? | SELECT Country, COUNT(*) FROM climber GROUP BY Country | SELECT "Country", COUNT(*) FROM "climber" GROUP BY "Country" | 0.058594 |
CREATE TABLE table_name_17 (home_team VARCHAR2, score VARCHAR2)
| What is the Home team in the game with a Score of 2 3? | SELECT home_team FROM table_name_17 WHERE score = "2–3" | SELECT "home_team" FROM "table_name_17" WHERE "2–3" = "score" | 0.05957 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| popular db access programming languages. | SELECT COUNT(DISTINCT P.Id) AS num_questions, t_dbname.TagName FROM Posts AS P INNER JOIN PostTags AS pt ON pt.PostId = P.Id INNER JOIN Tags AS t_lang ON t_lang.Id = pt.TagId INNER JOIN PostTags AS pt_db ON pt_db.PostId = P.Id INNER JOIN Tags AS t_dbname ON t_dbname.Id = pt_db.TagId WHERE t_lang.TagName IN ('c++', 'java', 'python', 'go', 'php', 'asp.net', 'c#', 'node.js', 'ocaml', 'haskell', 'erlang') AND t_dbname.TagName IN ('mysql', 'sql-server', 'oracle', 'postgresql', 'db2', 'mongo', 'rocksdb', 'redis', 'google-cloud-spanner', 'amazon-dynamodb', 'azure-cosmosdb', 'voltdb', 'sqlite', 'leveldb', 'hbase') AND P.CreationDate > DATEADD(yyyy, -2, SYSDATETIME()) GROUP BY t_dbname.TagName ORDER BY COUNT(DISTINCT P.Id) DESC | SELECT COUNT(DISTINCT "P"."Id") AS "num_questions", "t_dbname"."TagName" FROM "Posts" "P" JOIN "PostTags" "pt" ON "P"."Id" = "pt"."PostId" JOIN "PostTags" "pt_db" ON "P"."Id" = "pt_db"."PostId" JOIN "Tags" "t_dbname" ON "pt_db"."TagId" = "t_dbname"."Id" AND "t_dbname"."TagName" IN ('mysql', 'sql-server', 'oracle', 'postgresql', 'db2', 'mongo', 'rocksdb', 'redis', 'google-cloud-spanner', 'amazon-dynamodb', 'azure-cosmosdb', 'voltdb', 'sqlite', 'leveldb', 'hbase') JOIN "Tags" "t_lang" ON "pt"."TagId" = "t_lang"."Id" AND "t_lang"."TagName" IN ('c++', 'java', 'python', 'go', 'php', 'asp.net', 'c#', 'node.js', 'ocaml', 'haskell', 'erlang') WHERE "P"."CreationDate" > DATEADD("yyyy", -2, SYSDATETIME()) GROUP BY "t_dbname"."TagName" ORDER BY COUNT(DISTINCT "P"."Id") DESC | 0.754883 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| how many patients were staying in csru careunits a year before? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.careunit = 'csru' AND DATETIME(transfers.intime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) | WITH "_u_0" AS (SELECT "transfers"."hadm_id" FROM "transfers" WHERE "transfers"."careunit" = 'csru' AND DATETIME("transfers"."intime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.374023 |
CREATE TABLE table_37522 ("Camera" CLOB, "Sensor resolution" CLOB, "Sensor" CLOB, "Output" CLOB, "CPU usage" CLOB, "IR LEDs" CLOB)
| What was the sensor resolution with a minimal CPU usage for a naturalpoint trackir 3 pro? | SELECT "Sensor resolution" FROM table_37522 WHERE "CPU usage" = 'minimal' AND "Camera" = 'naturalpoint trackir 3 pro' | SELECT "Sensor resolution" FROM "table_37522" WHERE "CPU usage" = 'minimal' AND "Camera" = 'naturalpoint trackir 3 pro' | 0.116211 |
CREATE TABLE table_name_29 (venue VARCHAR2, runs VARCHAR2)
| Where was the venue that had 274 runs? | SELECT venue FROM table_name_29 WHERE runs = "274" | SELECT "venue" FROM "table_name_29" WHERE "274" = "runs" | 0.054688 |
CREATE TABLE table_53357 ("Year" FLOAT, "Film/Video" CLOB, "Visual Arts" CLOB, "Theatre" CLOB, "Dance" CLOB, "Music" CLOB)
| In 2004, what is the Dance? | SELECT "Dance" FROM table_53357 WHERE "Year" = '2004' | SELECT "Dance" FROM "table_53357" WHERE "Year" = '2004' | 0.053711 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| which airlines go from SAN FRANCISCO to WASHINGTON by way of INDIANAPOLIS | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'INDIANAPOLIS' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" JOIN "airport_service" "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'WASHINGTON' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'INDIANAPOLIS' | 0.859375 |
CREATE TABLE table_13941 ("Rank" FLOAT, "Athlete" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| What are the notes for Zimbabwe? | SELECT "Notes" FROM table_13941 WHERE "Country" = 'zimbabwe' | SELECT "Notes" FROM "table_13941" WHERE "Country" = 'zimbabwe' | 0.060547 |
CREATE TABLE table_name_51 (bronze NUMBER, nation VARCHAR2, silver VARCHAR2)
| Wha is the average number of bronze of hungary, which has less than 1 silver? | SELECT AVG(bronze) FROM table_name_51 WHERE nation = "hungary" AND silver < 1 | SELECT AVG("bronze") FROM "table_name_51" WHERE "hungary" = "nation" AND "silver" < 1 | 0.083008 |
CREATE TABLE table_train_77 ("id" NUMBER, "gender" CLOB, "pregnancy_or_lactation" BOOLEAN, "language" CLOB, "hiv_aids" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| hiv positive | SELECT * FROM table_train_77 WHERE hiv_aids = 1 | SELECT * FROM "table_train_77" WHERE "hiv_aids" = 1 | 0.049805 |
CREATE TABLE table_name_68 (worldwide_gross VARCHAR2, rank VARCHAR2)
| What is the Worldwide Gross of the Film with a Rank of 16? | SELECT worldwide_gross FROM table_name_68 WHERE rank = 16 | SELECT "worldwide_gross" FROM "table_name_68" WHERE "rank" = 16 | 0.061523 |
CREATE TABLE table_25723 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What team was played on november 24? | SELECT "Team" FROM table_25723 WHERE "Date" = 'November 24' | SELECT "Team" FROM "table_25723" WHERE "Date" = 'November 24' | 0.05957 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients with a diagnoses of diaphragmatic hernia without mention of obstruction or gangrene who had urine lab test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Diaphragmatic hernia without mention of obstruction or gangrene" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Diaphragmatic hernia without mention of obstruction or gangrene" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.30957 |
CREATE TABLE table_12935 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( \\u00a3 ) " FLOAT)
| What is the Country of the Player with a Score of 66-72-70-69=277? | SELECT "Country" FROM table_12935 WHERE "Score" = '66-72-70-69=277' | SELECT "Country" FROM "table_12935" WHERE "Score" = '66-72-70-69=277' | 0.067383 |
CREATE TABLE table_42210 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponent in Final" CLOB, "Score in Final" CLOB)
| Who was the partner of the winner? | SELECT "Partner" FROM table_42210 WHERE "Outcome" = 'winner' | SELECT "Partner" FROM "table_42210" WHERE "Outcome" = 'winner' | 0.060547 |
CREATE TABLE table_name_53 (year NUMBER, lok_sabha VARCHAR2)
| What is the lowest Year, when Lok Sabha is '4th Lok Sabha'? | SELECT MIN(year) FROM table_name_53 WHERE lok_sabha = "4th lok sabha" | SELECT MIN("year") FROM "table_name_53" WHERE "4th lok sabha" = "lok_sabha" | 0.073242 |
CREATE TABLE table_56499 ("Wind farm" CLOB, "Capacity ( MW ) " FLOAT, "Country" CLOB, "State/Province" CLOB, "Notes" CLOB)
| Which state is Tehachapi Pass Wind Farm located in? | SELECT "State/Province" FROM table_56499 WHERE "Wind farm" = 'tehachapi pass wind farm' | SELECT "State/Province" FROM "table_56499" WHERE "Wind farm" = 'tehachapi pass wind farm' | 0.086914 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the unabbreviated version of the necator americanus? | SELECT d_icd_diagnoses.long_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'necator americanus' UNION SELECT d_icd_procedures.long_title FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'necator americanus' | SELECT "d_icd_diagnoses"."long_title" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'necator americanus' UNION SELECT "d_icd_procedures"."long_title" FROM "d_icd_procedures" WHERE "d_icd_procedures"."short_title" = 'necator americanus' | 0.246094 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what was patient 19175's weight the last time during the previous month? | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19175)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19175 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.833984 |
CREATE TABLE table_203_734 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| what is the total number of times that the competition is listed as world championships ? | SELECT COUNT(*) FROM table_203_734 WHERE "competition" = 'world championships' | SELECT COUNT(*) FROM "table_203_734" WHERE "competition" = 'world championships' | 0.078125 |
CREATE TABLE table_11019212_1 (thursday VARCHAR2, sunday VARCHAR2, tuesday VARCHAR2)
| what's the thursday time with sunday being 1:00-5:00 and tuesday being 1:00-7:00 | SELECT thursday FROM table_11019212_1 WHERE sunday = "1:00-5:00" AND tuesday = "1:00-7:00" | SELECT "thursday" FROM "table_11019212_1" WHERE "1:00-5:00" = "sunday" AND "1:00-7:00" = "tuesday" | 0.095703 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
| list CALIFORNIA airports | SELECT DISTINCT airport_code FROM airport WHERE state_code IN (SELECT STATEalias0.state_code FROM state AS STATEalias0 WHERE STATEalias0.state_name = 'CALIFORNIA') | WITH "_u_0" AS (SELECT "STATEalias0"."state_code" FROM "state" "STATEalias0" WHERE "STATEalias0"."state_name" = 'CALIFORNIA' GROUP BY "state_code") SELECT DISTINCT "airport_code" FROM "airport" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "state_code" WHERE NOT "_u_0"."" IS NULL | 0.266602 |
CREATE TABLE table_test_5 ("id" NUMBER, "systemic_lupus_erythematosus" BOOLEAN, "anemia" BOOLEAN, "gender" CLOB, "pregnancy_or_lactation" BOOLEAN, "serum_potassium" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "estimated_glomerular_filtration_rate_egfr" NUMBER, "chronic_inflammatory_disease" BOOLEAN, "global_lvef" NUMBER, "rheumatoid_arthritis" BOOLEAN, "liver_disease" BOOLEAN, "serum_creatinine" FLOAT, "kidney_disease" BOOLEAN, "lung_disease" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| hemoglobin level below 9 mg % | SELECT * FROM table_test_5 WHERE hemoglobin_a1c_hba1c < 9 | SELECT * FROM "table_test_5" WHERE "hemoglobin_a1c_hba1c" < 9 | 0.05957 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when was patient 73423 prescribed the drug docusate sodium and hydrocortisone na succ. at the same time for the last time since 162 months ago? | SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'docusate sodium' AND admissions.subject_id = 73423 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-162 month')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'hydrocortisone na succ.' AND admissions.subject_id = 73423 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-162 month')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate DESC LIMIT 1 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 73423 WHERE "prescriptions"."drug" = 'hydrocortisone na succ.' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-162 month')) SELECT "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 73423 JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'docusate sodium' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-162 month') ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.828125 |
CREATE TABLE table_38185 ("Game" CLOB, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Road Team" CLOB)
| what game was on may 24 | SELECT "Game" FROM table_38185 WHERE "Date" = 'may 24' | SELECT "Game" FROM "table_38185" WHERE "Date" = 'may 24' | 0.054688 |
CREATE TABLE table_18252 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| what's district with candidates being curt weldon (r) 61.3% bill spingler (d) 38.7% | SELECT "District" FROM table_18252 WHERE "Candidates" = 'Curt Weldon (R) 61.3% Bill Spingler (D) 38.7%' | SELECT "District" FROM "table_18252" WHERE "Candidates" = 'Curt Weldon (R) 61.3% Bill Spingler (D) 38.7%' | 0.102539 |
CREATE TABLE table_68669 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| Name the highest points when year is more than 1953 | SELECT MAX("Points") FROM table_68669 WHERE "Year" > '1953' | SELECT MAX("Points") FROM "table_68669" WHERE "Year" > '1953' | 0.05957 |
CREATE TABLE table_204_95 (id NUMBER, "name" CLOB, "title" CLOB, "first year\ in this position" NUMBER, "years at nebraska" CLOB, "alma mater" CLOB)
| which coach was the first to coach before all others ? | SELECT "name" FROM table_204_95 ORDER BY "first year\nin this position" LIMIT 1 | SELECT "name" FROM "table_204_95" ORDER BY "first year\nin this position" FETCH FIRST 1 ROWS ONLY | 0.094727 |
CREATE TABLE table_name_11 (wins NUMBER, class VARCHAR2, year VARCHAR2)
| What are the most wins in 1971 in 250cc class? | SELECT MAX(wins) FROM table_name_11 WHERE class = "250cc" AND year = 1971 | SELECT MAX("wins") FROM "table_name_11" WHERE "250cc" = "class" AND "year" = 1971 | 0.079102 |
CREATE TABLE table_20159025_1 (driver VARCHAR2, grid VARCHAR2)
| Who was the driver in grid 01 1? | SELECT driver FROM table_20159025_1 WHERE grid = "01 1" | SELECT "driver" FROM "table_20159025_1" WHERE "01 1" = "grid" | 0.05957 |
CREATE TABLE table_204_753 (id NUMBER, "no." NUMBER, "name" CLOB, "position" CLOB, "date of birth ( age ) " CLOB, "signed from" CLOB, "notes" CLOB)
| who was the oldest player on the squad in the 2011-12 season ? | SELECT "name" FROM table_204_753 ORDER BY "date of birth (age)" LIMIT 1 | SELECT "name" FROM "table_204_753" ORDER BY "date of birth (age)" FETCH FIRST 1 ROWS ONLY | 0.086914 |
CREATE TABLE assignedto (scientist NUMBER, project CLOB)
CREATE TABLE scientists (ssn NUMBER, name CLOB)
CREATE TABLE projects (code CLOB, name CLOB, hours NUMBER)
| What is the name of the project with the most hours? | SELECT name FROM projects ORDER BY hours DESC LIMIT 1 | SELECT "name" FROM "projects" ORDER BY "hours" DESC FETCH FIRST 1 ROWS ONLY | 0.073242 |
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
| Scatter plot to show card id on x axis and customer_id on y axis. | SELECT card_id, customer_id FROM Customers_Cards | SELECT "card_id", "customer_id" FROM "Customers_Cards" | 0.052734 |
CREATE TABLE table_name_59 (wicket VARCHAR2, date VARCHAR2)
| Name the wicket for 19-03-2007 | SELECT wicket FROM table_name_59 WHERE date = "19-03-2007" | SELECT "wicket" FROM "table_name_59" WHERE "19-03-2007" = "date" | 0.0625 |
CREATE TABLE table_name_12 (city___state VARCHAR2, winner VARCHAR2, circuit VARCHAR2)
| In what City/State did John Bowe win at Phillip Island Grand Prix Circuit? | SELECT city___state FROM table_name_12 WHERE winner = "john bowe" AND circuit = "phillip island grand prix circuit" | SELECT "city___state" FROM "table_name_12" WHERE "circuit" = "phillip island grand prix circuit" AND "john bowe" = "winner" | 0.120117 |
CREATE TABLE table_41322 ("Draw" FLOAT, "Song" CLOB, "Performer" CLOB, "Points" FLOAT, "Rank" CLOB)
| What Points have a Song of 'this time' and a Draw smaller than 5? | SELECT COUNT("Points") FROM table_41322 WHERE "Song" = 'this time' AND "Draw" < '5' | SELECT COUNT("Points") FROM "table_41322" WHERE "Draw" < '5' AND "Song" = 'this time' | 0.083008 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| tell me the name of the specimen test patient 031-15666 received for the first time since 115 months ago? | SELECT microlab.culturesite FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-15666')) AND DATETIME(microlab.culturetakentime) >= DATETIME(CURRENT_TIME(), '-115 month') ORDER BY microlab.culturetakentime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-15666' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturesite" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime") >= DATETIME(CURRENT_TIME(), '-115 month') AND NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" FETCH FIRST 1 ROWS ONLY | 0.633789 |
CREATE TABLE table_name_10 (name VARCHAR2, rank VARCHAR2)
| Can you tell me the Name that has the Rank of 4? | SELECT name FROM table_name_10 WHERE rank = 4 | SELECT "name" FROM "table_name_10" WHERE "rank" = 4 | 0.049805 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| Does it have something interesting about the employee id and the salary? First show me a scatter chart. | SELECT EMPLOYEE_ID, SALARY FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID | SELECT "EMPLOYEE_ID", "SALARY" FROM "employees" "T1" JOIN "departments" "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" AND "T1"."EMPLOYEE_ID" = "T2"."MANAGER_ID" | 0.162109 |
CREATE TABLE table_train_78 ("id" NUMBER, "mini_mental_state_examination_mmse" NUMBER, "consent" BOOLEAN, "swallow_oral_medication" BOOLEAN, "rosen_modified_hachinski_ischemic_score" NUMBER, "NOUSE" FLOAT)
| informed consent signed and dated by subject ( or legally authorized representative ) . | SELECT * FROM table_train_78 WHERE consent = 1 | SELECT * FROM "table_train_78" WHERE "consent" = 1 | 0.048828 |
CREATE TABLE table_203_269 (id NUMBER, "season" CLOB, "competition" CLOB, "round" CLOB, "club" CLOB, "home" CLOB, "away" CLOB, "aggregate" CLOB)
| how many seasons are listed ? | SELECT COUNT(DISTINCT "season") FROM table_203_269 | SELECT COUNT(DISTINCT "season") FROM "table_203_269" | 0.050781 |
CREATE TABLE table_66361 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| How much Conceded has Wins smaller than 3, and Points larger than 11? | SELECT COUNT("Conceded") FROM table_66361 WHERE "Wins" < '3' AND "Points" > '11' | SELECT COUNT("Conceded") FROM "table_66361" WHERE "Points" > '11' AND "Wins" < '3' | 0.080078 |
CREATE TABLE table_41166 ("Episode Number" FLOAT, "Air Date" CLOB, "Guest Host" CLOB, "Musical Guest ( Song performed ) " CLOB, "Who knows the most about the guest host? panelists" CLOB)
| Who were the panelists on episode number 4? | SELECT "Who knows the most about the guest host? panelists" FROM table_41166 WHERE "Episode Number" = '4' | SELECT "Who knows the most about the guest host? panelists" FROM "table_41166" WHERE "Episode Number" = '4' | 0.104492 |
CREATE TABLE table_60200 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many times is the nation china and bronze more than 0? | SELECT COUNT("Rank") FROM table_60200 WHERE "Nation" = 'china' AND "Bronze" > '0' | SELECT COUNT("Rank") FROM "table_60200" WHERE "Bronze" > '0' AND "Nation" = 'china' | 0.081055 |
CREATE TABLE table_11845 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Points" FLOAT, "Place" FLOAT)
| what is the number of points when the place is less than 7, the draw is more than 2 and the artist is piece of cake? | SELECT COUNT("Points") FROM table_11845 WHERE "Place" < '7' AND "Draw" > '2' AND "Artist" = 'piece of cake' | SELECT COUNT("Points") FROM "table_11845" WHERE "Artist" = 'piece of cake' AND "Draw" > '2' AND "Place" < '7' | 0.106445 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose procedure icd9 code is 3799 and drug type is additive? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "3799" AND prescriptions.drug_type = "ADDITIVE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" JOIN "procedures" ON "3799" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.290039 |
CREATE TABLE table_name_36 (tv_station__operator_ VARCHAR2)
| What's the 2005 of TV3 when there is less than 42 in 2007 and less than 29.5 in 2010? | SELECT MAX(2005) FROM table_name_36 WHERE 2007 < 42 AND tv_station__operator_ = "tv3" AND 2010 < 29.5 | SELECT MAX(2005) FROM "table_name_36" WHERE FALSE | 0.047852 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| List 16 -credit Feminist a Global Context courses . | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Feminist a Global Context%' OR name LIKE '%Feminist a Global Context%') AND credits = 16 | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "credits" = 16 AND ("description" LIKE '%Feminist a Global Context%' OR "name" LIKE '%Feminist a Global Context%') | 0.176758 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| when's patient 91004's birthday? | SELECT patients.dob FROM patients WHERE patients.subject_id = 91004 | SELECT "patients"."dob" FROM "patients" WHERE "patients"."subject_id" = 91004 | 0.075195 |
CREATE TABLE table_name_52 (date VARCHAR2, opposing_team VARCHAR2)
| What was the date of the match against western province? | SELECT date FROM table_name_52 WHERE opposing_team = "western province" | SELECT "date" FROM "table_name_52" WHERE "opposing_team" = "western province" | 0.075195 |
CREATE TABLE table_21192 ("Months in Malayalam Era" CLOB, "In Malayalam" CLOB, "Gregorian Calendar" CLOB, "Tamil calendar" CLOB, "Saka era" CLOB, "Sign of Zodiac" CLOB)
| Name the saka era for sign of zodiac being pisces | SELECT "Saka era" FROM table_21192 WHERE "Sign of Zodiac" = 'Pisces' | SELECT "Saka era" FROM "table_21192" WHERE "Sign of Zodiac" = 'Pisces' | 0.068359 |
CREATE TABLE table_name_90 (year NUMBER, award VARCHAR2, nominated_work VARCHAR2)
| What is the earliest year with a Drama Desk award when the Mineola Twins was a nominated work? | SELECT MIN(year) FROM table_name_90 WHERE award = "drama desk award" AND nominated_work = "the mineola twins" | SELECT MIN("year") FROM "table_name_90" WHERE "award" = "drama desk award" AND "nominated_work" = "the mineola twins" | 0.114258 |
CREATE TABLE table_name_98 (animal_name VARCHAR2, tv_series VARCHAR2, species VARCHAR2)
| What animal was yes for tv series and was a terrapins? | SELECT animal_name FROM table_name_98 WHERE tv_series = "yes" AND species = "terrapins" | SELECT "animal_name" FROM "table_name_98" WHERE "species" = "terrapins" AND "tv_series" = "yes" | 0.092773 |
CREATE TABLE table_name_59 (played NUMBER, points VARCHAR2, against VARCHAR2)
| What is the number of games played for the team with 12 points and an against smaller than 52? | SELECT AVG(played) FROM table_name_59 WHERE points = 12 AND against < 52 | SELECT AVG("played") FROM "table_name_59" WHERE "against" < 52 AND "points" = 12 | 0.078125 |
CREATE TABLE table_name_21 (season VARCHAR2, score VARCHAR2, winners VARCHAR2)
| In which season did the Rangers win with a score of 2 1? | SELECT season FROM table_name_21 WHERE score = "2–1" AND winners = "rangers" | SELECT "season" FROM "table_name_21" WHERE "2–1" = "score" AND "rangers" = "winners" | 0.082031 |
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| View your public votes with vote type. | SELECT v.PostId AS "post_link", vt.Name AS "vote_type" FROM Votes AS v JOIN VoteTypes AS vt ON v.VoteTypeId = vt.Id WHERE UserId = '##UserId##' | SELECT "v"."PostId" AS "post_link", "vt"."Name" AS "vote_type" FROM "Votes" "v" JOIN "VoteTypes" "vt" ON "v"."VoteTypeId" = "vt"."Id" WHERE "UserId" = '##UserId##' | 0.15918 |
CREATE TABLE table_name_37 (name VARCHAR2, date VARCHAR2)
| What was the name of the race on 24 September? | SELECT name FROM table_name_37 WHERE date = "24 september" | SELECT "name" FROM "table_name_37" WHERE "24 september" = "date" | 0.0625 |
CREATE TABLE table_38724 ("Date" CLOB, "City" CLOB, "Opponent" CLOB, "Results\\u00b9" CLOB, "Type of game" CLOB)
| What city did Yugoslavia play Norway in? | SELECT "City" FROM table_38724 WHERE "Opponent" = 'norway' | SELECT "City" FROM "table_38724" WHERE "Opponent" = 'norway' | 0.058594 |
CREATE TABLE table_name_11 (college_junior_club_team VARCHAR2, round VARCHAR2)
| Which College/junior/club team has a Round of 4? | SELECT college_junior_club_team FROM table_name_11 WHERE round = 4 | SELECT "college_junior_club_team" FROM "table_name_11" WHERE "round" = 4 | 0.070313 |
CREATE TABLE table_name_52 (Id VARCHAR2)
| What were the 2009 results that has 0 in 2010? | SELECT 2009 FROM table_name_52 WHERE 2010 = "0" | SELECT 2009 FROM "table_name_52" WHERE "0" = 2010 | 0.047852 |
CREATE TABLE table_51491 ("Games" CLOB, "Gold" CLOB, "Silver" CLOB, "Bronze" CLOB, "Total" CLOB, "Rank" CLOB)
| What is the rank of the games that had 9 gold and 9 silvers? | SELECT "Rank" FROM table_51491 WHERE "Gold" = '9' AND "Silver" = '9' | SELECT "Rank" FROM "table_51491" WHERE "Gold" = '9' AND "Silver" = '9' | 0.068359 |
CREATE TABLE table_name_17 (date VARCHAR2, score VARCHAR2)
| On what day was the game that ended in a score of 97-38? | SELECT date FROM table_name_17 WHERE score = "97-38" | SELECT "date" FROM "table_name_17" WHERE "97-38" = "score" | 0.056641 |
CREATE TABLE table_174 ("Country/Region" CLOB, "Show Title" CLOB, "Languages" CLOB, "Host" CLOB, "Channel" CLOB, "Premiere" CLOB, "Seasons" CLOB, "Status" CLOB)
| What is the premiere where the host is lieke van lexmond dennis weening? | SELECT "Premiere" FROM table_174 WHERE "Host" = 'Lieke van Lexmond Dennis Weening' | SELECT "Premiere" FROM "table_174" WHERE "Host" = 'Lieke van Lexmond Dennis Weening' | 0.082031 |
CREATE TABLE table_12030612_3 (written_by VARCHAR2, series__number VARCHAR2)
| Who were the authors of series episode #25? | SELECT written_by FROM table_12030612_3 WHERE series__number = 25 | SELECT "written_by" FROM "table_12030612_3" WHERE "series__number" = 25 | 0.069336 |
CREATE TABLE table_41157 ("Track" FLOAT, "Recorded" CLOB, "Catalogue" CLOB, "Release date" CLOB, "Song title" CLOB, "Time" CLOB)
| What track has a time of 2:30? | SELECT "Track" FROM table_41157 WHERE "Time" = '2:30' | SELECT "Track" FROM "table_41157" WHERE "Time" = '2:30' | 0.053711 |
CREATE TABLE table_name_1 (score VARCHAR2, team VARCHAR2)
| What is the Score with a Team that is @ portland? | SELECT score FROM table_name_1 WHERE team = "@ portland" | SELECT "score" FROM "table_name_1" WHERE "@ portland" = "team" | 0.060547 |
CREATE TABLE table_14655985_1 (player VARCHAR2, pick__number VARCHAR2)
| who is the the player where pick # is 64 | SELECT player FROM table_14655985_1 WHERE pick__number = 64 | SELECT "player" FROM "table_14655985_1" WHERE "pick__number" = 64 | 0.063477 |
CREATE TABLE table_79953 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the largest silver with Gold larger than 4, a Nation of united states, and a Total larger than 26? | SELECT MAX("Silver") FROM table_79953 WHERE "Gold" > '4' AND "Nation" = 'united states' AND "Total" > '26' | SELECT MAX("Silver") FROM "table_79953" WHERE "Gold" > '4' AND "Nation" = 'united states' AND "Total" > '26' | 0.105469 |
CREATE TABLE table_name_64 (runner_s__up VARCHAR2, date VARCHAR2)
| Who was the runner-up on Jul 14, 1968? | SELECT runner_s__up FROM table_name_64 WHERE date = "jul 14, 1968" | SELECT "runner_s__up" FROM "table_name_64" WHERE "date" = "jul 14, 1968" | 0.070313 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| what are the three most commonly ordered specimen tests for patients who previously had been diagnosed with polyphagia within the same month in 2103? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'polyphagia') AND STRFTIME('%y', diagnoses_icd.charttime) = '2103') AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', microbiologyevents.charttime) = '2103') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE STRFTIME('%y', "microbiologyevents"."charttime") = '2103'), "t3" AS (SELECT "t2"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'polyphagia' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE STRFTIME('%y', "diagnoses_icd"."charttime") = '2103' GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.962891 |
CREATE TABLE table_name_3 (race VARCHAR2, date VARCHAR2)
| What is the race on 10/10/2008? | SELECT race FROM table_name_3 WHERE date = "10/10/2008" | SELECT "race" FROM "table_name_3" WHERE "10/10/2008" = "date" | 0.05957 |
CREATE TABLE table_33025 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the name of the away team that has the home team score of 15.17 (107)? | SELECT "Away team" FROM table_33025 WHERE "Home team score" = '15.17 (107)' | SELECT "Away team" FROM "table_33025" WHERE "Home team score" = '15.17 (107)' | 0.075195 |
CREATE TABLE table_204_220 (id NUMBER, "entered" CLOB, "weeks in\ top 10" NUMBER, "single" CLOB, "artist" CLOB, "peak" NUMBER, "peak\ reached" CLOB, "weeks\ at peak" NUMBER)
| which artist only has its single entered on 2 january 1994 ? | SELECT "artist" FROM table_204_220 WHERE "entered" = '2 january 1994' | SELECT "artist" FROM "table_204_220" WHERE "entered" = '2 january 1994' | 0.069336 |
CREATE TABLE table_62026 ("Year" FLOAT, "Average" CLOB, "High" FLOAT, "Sellouts" FLOAT, "Total for year" FLOAT, "WNBA game average" FLOAT)
| What is the total of the year that more than 13,142 is the high, and 10,387 (2nd) is the average, and there was less than 0 sellouts? | SELECT SUM("Year") FROM table_62026 WHERE "High" > '13,142' AND "Average" = '10,387 (2nd)' AND "Sellouts" < '0' | SELECT SUM("Year") FROM "table_62026" WHERE "Average" = '10,387 (2nd)' AND "High" > '13,142' AND "Sellouts" < '0' | 0.110352 |
CREATE TABLE player (pid NUMBER, pname CLOB, ycard CLOB, hs NUMBER)
CREATE TABLE tryout (pid NUMBER, cname CLOB, ppos CLOB, decision CLOB)
CREATE TABLE college (cname CLOB, state CLOB, enr NUMBER)
| Find names of colleges with enrollment greater than that of some (at least one) college in the FL state. | SELECT DISTINCT cname FROM college WHERE enr > (SELECT MIN(enr) FROM college WHERE state = 'FL') | SELECT DISTINCT "cname" FROM "college" WHERE "enr" > (SELECT MIN("enr") FROM "college" WHERE "state" = 'FL') | 0.105469 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what is the minimum total cost of the hospital which include tacrolimus-fk506 until 1 year ago? | 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 = 'tacrolimus-fk506')) AND DATETIME(cost.chargetime) <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "lab"."patientunitstayid" FROM "lab" WHERE "lab"."labname" = 'tacrolimus-fk506' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_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" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.636719 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| Give me the list of patients with urgent hospital admission who are on the prescription drug cetylpyridinium chl (cepacol). | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "Cetylpyridinium Chl (Cepacol)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Cetylpyridinium Chl (Cepacol)" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.24707 |
CREATE TABLE table_65775 ("Voting order" FLOAT, "Country" CLOB, "Spokespersons" CLOB, "Commentator" CLOB, "Broadcaster" CLOB)
| What was the voting order when the commentator was renato tagliani? | SELECT "Voting order" FROM table_65775 WHERE "Commentator" = 'renato tagliani' | SELECT "Voting order" FROM "table_65775" WHERE "Commentator" = 'renato tagliani' | 0.078125 |
CREATE TABLE table_name_8 (name VARCHAR2, rank VARCHAR2, nationality VARCHAR2, lane VARCHAR2, time VARCHAR2)
| Which name has a lane smaller than 7, and a time greater than 54.32 with germany as the nationality and a rank less than 5? | SELECT name FROM table_name_8 WHERE lane < 7 AND time > 54.32 AND nationality = "germany" AND rank < 5 | SELECT "name" FROM "table_name_8" WHERE "germany" = "nationality" AND "lane" < 7 AND "rank" < 5 AND "time" > 54.32 | 0.111328 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose diagnosis long title is injury to femoral nerve and lab test abnormal status is delta. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Injury to femoral nerve" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Injury to femoral nerve" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.269531 |
CREATE TABLE user_profiles (followers NUMBER)
| Find the maximum and total number of followers of all users. | SELECT MAX(followers), SUM(followers) FROM user_profiles | SELECT MAX("followers"), SUM("followers") FROM "user_profiles" | 0.060547 |
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
| List the physicians' employee ids together with their primary affiliation departments' ids. Plot them as scatter chart. | SELECT Physician, Department FROM Affiliated_With WHERE PrimaryAffiliation = 1 | SELECT "Physician", "Department" FROM "Affiliated_With" WHERE "PrimaryAffiliation" = 1 | 0.083984 |
CREATE TABLE table_79388 ("Actor" CLOB, "Character" CLOB, "Soap Opera" CLOB, "Years" CLOB, "Duration" CLOB)
| What character did Vicky Versavel play for 13 years? | SELECT "Character" FROM table_79388 WHERE "Duration" = '13 years' AND "Actor" = 'vicky versavel' | SELECT "Character" FROM "table_79388" WHERE "Actor" = 'vicky versavel' AND "Duration" = '13 years' | 0.095703 |
CREATE TABLE table_24384861_1 (aux_in VARCHAR2, dock_connection VARCHAR2)
| How many connections aux in using FIrewire? | SELECT COUNT(aux_in) FROM table_24384861_1 WHERE dock_connection = "FireWire" | SELECT COUNT("aux_in") FROM "table_24384861_1" WHERE "FireWire" = "dock_connection" | 0.081055 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| for patient id 52012, specify the admission type and icd9 code. | SELECT demographic.admission_type, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "52012" | SELECT "demographic"."admission_type", "procedures"."long_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "52012" = "demographic"."subject_id" | 0.191406 |
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