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CREATE TABLE table_name_3 (to_par VARCHAR, place VARCHAR, player VARCHAR)
| When Ernie Els placed t2, what was his To par? | SELECT to_par FROM table_name_3 WHERE place = "t2" AND player = "ernie els" | SELECT "to_par" FROM "table_name_3" WHERE "ernie els" = "player" AND "place" = "t2" | 0.081055 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| which patients have diagnoses icd9 code 2920? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "2920" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2920" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.168945 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
| do you have any flights from CHICAGO to INDIANAPOLIS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CHICAGO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'INDIANAPOLIS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CHICAGO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'INDIANAPOLIS' | 0.499023 |
CREATE TABLE table_14594528_6 (name__alma_mater_ VARCHAR, wins VARCHAR)
| What coach had 15 wins? | SELECT name__alma_mater_ FROM table_14594528_6 WHERE wins = 15 | SELECT "name__alma_mater_" FROM "table_14594528_6" WHERE "wins" = 15 | 0.066406 |
CREATE TABLE table_203_573 (id DECIMAL, "name" TEXT, "rank - 2000" DECIMAL, "number" DECIMAL, "country of origin" TEXT, "england - 2001" TEXT)
| which are they only two names that have spain as their country of origin ? | SELECT "name" FROM table_203_573 WHERE "country of origin" = 'spain' | SELECT "name" FROM "table_203_573" WHERE "country of origin" = 'spain' | 0.068359 |
CREATE TABLE table_name_75 (runners_up VARCHAR, champions VARCHAR)
| What runner(s)-up has 1 (2013) as the champions? | SELECT runners_up FROM table_name_75 WHERE champions = "1 (2013)" | SELECT "runners_up" FROM "table_name_75" WHERE "1 (2013)" = "champions" | 0.069336 |
CREATE TABLE table_name_17 (winner VARCHAR, circuit VARCHAR)
| Who won at the Oran Park Raceway? | SELECT winner FROM table_name_17 WHERE circuit = "oran park raceway" | SELECT "winner" FROM "table_name_17" WHERE "circuit" = "oran park raceway" | 0.072266 |
CREATE TABLE table_name_69 (shirt_back_sponsor VARCHAR, shorts_sponsor VARCHAR)
| Who is the Shirt Back Sponsor if the Shorts Sponsor is Telestet? | SELECT shirt_back_sponsor FROM table_name_69 WHERE shorts_sponsor = "telestet" | SELECT "shirt_back_sponsor" FROM "table_name_69" WHERE "shorts_sponsor" = "telestet" | 0.082031 |
CREATE TABLE table_53824 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
| What was the Winning score for the Mynavi ABC Championship Tournament? | SELECT "Winning score" FROM table_53824 WHERE "Tournament" = 'mynavi abc championship' | SELECT "Winning score" FROM "table_53824" WHERE "Tournament" = 'mynavi abc championship' | 0.085938 |
CREATE TABLE table_77816 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What was the competition on 7 June 1999? | SELECT "Competition" FROM table_77816 WHERE "Date" = '7 june 1999' | SELECT "Competition" FROM "table_77816" WHERE "Date" = '7 june 1999' | 0.066406 |
CREATE TABLE table_name_88 (poll_source VARCHAR, lead_margin VARCHAR)
| Which organization administered the poll that showed a lead margin of 5.5? | SELECT poll_source FROM table_name_88 WHERE lead_margin = 5.5 | SELECT "poll_source" FROM "table_name_88" WHERE "lead_margin" = 5.5 | 0.06543 |
CREATE TABLE table_15879 ("Player" TEXT, "No." TEXT, "Nationality" TEXT, "Position" TEXT, "Years in Toronto" TEXT, "School/Club Team" TEXT)
| How many players were with the school or club team La Salle? | SELECT COUNT("Player") FROM table_15879 WHERE "School/Club Team" = 'La Salle' | SELECT COUNT("Player") FROM "table_15879" WHERE "School/Club Team" = 'La Salle' | 0.077148 |
CREATE TABLE table_204_853 (id DECIMAL, "pos" DECIMAL, "grid" DECIMAL, "no." DECIMAL, "driver" TEXT, "team" TEXT, "manufacturer" TEXT, "laps" DECIMAL, "points" DECIMAL)
| which driver placed highest for roush racing ? | SELECT "driver" FROM table_204_853 WHERE "team" = 'roush racing' ORDER BY "pos" LIMIT 1 | SELECT "driver" FROM "table_204_853" WHERE "team" = 'roush racing' ORDER BY "pos" NULLS FIRST LIMIT 1 | 0.098633 |
CREATE TABLE table_68034 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent in the Final" TEXT, "Score" TEXT)
| Which tournament has hard as the surface and apr. 12, 1998 as the date? | SELECT "Tournament" FROM table_68034 WHERE "Surface" = 'hard' AND "Date" = 'apr. 12, 1998' | SELECT "Tournament" FROM "table_68034" WHERE "Date" = 'apr. 12, 1998' AND "Surface" = 'hard' | 0.089844 |
CREATE TABLE table_38125 ("Pick #" FLOAT, "Round" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| What college(s) did the player(s) picked in round 4 with a pick number less than 98 play for? | SELECT "College" FROM table_38125 WHERE "Pick #" < '98' AND "Round" = 'round 4' | SELECT "College" FROM "table_38125" WHERE "Pick #" < '98' AND "Round" = 'round 4' | 0.079102 |
CREATE TABLE table_name_24 (latitude INT, township VARCHAR, geo_id VARCHAR)
| what is the highest latitude when the township is kingsley and the geo id is higher than 3803942820? | SELECT MAX(latitude) FROM table_name_24 WHERE township = "kingsley" AND geo_id > 3803942820 | SELECT MAX("latitude") FROM "table_name_24" WHERE "geo_id" > 3803942820 AND "kingsley" = "township" | 0.09668 |
CREATE TABLE table_44808 ("Date" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Total" TEXT)
| What date was the score 3 0, and set 1 was 25 22? | SELECT "Date" FROM table_44808 WHERE "Score" = '3–0' AND "Set 1" = '25–22' | SELECT "Date" FROM "table_44808" WHERE "Score" = '3–0' AND "Set 1" = '25–22' | 0.074219 |
CREATE TABLE table_56434 ("Tournament" TEXT, "1989" TEXT, "1990" TEXT, "1991" TEXT, "1992" TEXT, "1993" TEXT, "1994" TEXT, "1995" TEXT, "1996" TEXT, "1997" TEXT, "1998" TEXT, "1999" TEXT, "2000" TEXT, "2001" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT)
| what 2001 has 1991 of 4r? | SELECT "2001" FROM table_56434 WHERE "1991" = '4r' | SELECT "2001" FROM "table_56434" WHERE "1991" = '4r' | 0.050781 |
CREATE TABLE table_name_84 (result VARCHAR, date VARCHAR)
| What was the result of 10/18/1947? | SELECT result FROM table_name_84 WHERE date = "10/18/1947" | SELECT "result" FROM "table_name_84" WHERE "10/18/1947" = "date" | 0.0625 |
CREATE TABLE people (people_id DECIMAL, sex TEXT, name TEXT, date_of_birth TEXT, height DECIMAL, weight DECIMAL)
CREATE TABLE candidate (candidate_id DECIMAL, people_id DECIMAL, poll_source TEXT, date TEXT, support_rate DECIMAL, consider_rate DECIMAL, oppose_rate DECIMAL, unsure_rate DECIMAL)
| What are the names of people who are shorter than average? | SELECT name FROM people WHERE height < (SELECT AVG(height) FROM people) | SELECT "name" FROM "people" WHERE "height" < (SELECT AVG("height") FROM "people") | 0.079102 |
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
| User rank in the world. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" ORDER BY "Reputation" DESC NULLS LAST | 0.15332 |
CREATE TABLE ship (Ship_ID INT, Name TEXT, Type TEXT, Nationality TEXT, Tonnage INT)
CREATE TABLE mission (Mission_ID INT, Ship_ID INT, Code TEXT, Launched_Year INT, Location TEXT, Speed_knots INT, Fate TEXT)
| Tell me the proportion of the nationality of all ships. | SELECT Nationality, COUNT(Nationality) FROM ship GROUP BY Nationality | SELECT "Nationality", COUNT("Nationality") FROM "ship" GROUP BY "Nationality" | 0.075195 |
CREATE TABLE table_62208 ("Date From" TEXT, "Date To" TEXT, "Pos." TEXT, "Name" TEXT, "Moving To" TEXT)
| Where did the player in Pos mf, move to until 30 june 2009 ? | SELECT "Moving To" FROM table_62208 WHERE "Date To" = '30 june 2009' AND "Pos." = 'mf' | SELECT "Moving To" FROM "table_62208" WHERE "Date To" = '30 june 2009' AND "Pos." = 'mf' | 0.085938 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients are admitted before the year 2168 and followed the procedure, procedure on two vessels? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2168" AND procedures.long_title = "Procedure on two vessels" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Procedure on two vessels" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2168" > "demographic"."admityear" | 0.232422 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose drug code is lans30st and lab test fluid is cerebrospinal fluid (csf)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "LANS30ST" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "LANS30ST" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.293945 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| what are the four most commonly given laboratory tests for patients who had previously received insert intercostal cath during the same month, since 2 years ago? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t3.itemid FROM (SELECT t2.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'insert intercostal cath') AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, labevents.itemid, labevents.charttime FROM labevents JOIN admissions ON labevents.hadm_id = admissions.hadm_id WHERE DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '-2 year')) 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.itemid) AS t3 WHERE t3.c1 <= 4) | WITH "t2" AS (SELECT "admissions"."subject_id", "labevents"."itemid", "labevents"."charttime" FROM "labevents" JOIN "admissions" ON "admissions"."hadm_id" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime") >= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'insert intercostal cath' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE DATETIME("procedures_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."itemid"), "_u_1" AS (SELECT "t3"."itemid" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4 GROUP BY "itemid") SELECT "d_labitems"."label" FROM "d_labitems" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_labitems"."itemid" WHERE NOT "_u_1"."" IS NULL | 1.137695 |
CREATE TABLE table_name_96 (year INT, release_air_date VARCHAR, role VARCHAR, radio_station_production_company VARCHAR)
| Role of narrator, and a Radio Station/Production Company of bbc audiobooks, and a Release/Air Date of 13 november 2008 is what sum of the year? | SELECT SUM(year) FROM table_name_96 WHERE role = "narrator" AND radio_station_production_company = "bbc audiobooks" AND release_air_date = "13 november 2008" | SELECT SUM("year") FROM "table_name_96" WHERE "13 november 2008" = "release_air_date" AND "bbc audiobooks" = "radio_station_production_company" AND "narrator" = "role" | 0.163086 |
CREATE TABLE table_47 ("Nominative" TEXT, "Old orthography" TEXT, "New orthography" TEXT, "/e/ or /\\u00e6/ ( IPA ) " TEXT, "Tone ( Latvian notation: /~/ - level , /^/ - broken ) " TEXT, "Translation" TEXT)
| What is the tone for gen.sing. plague? | SELECT "Tone (Latvian notation: /~/ - level, /^/ - broken)" FROM table_47 WHERE "Translation" = 'Gen.Sing. plague' | SELECT "Tone (Latvian notation: /~/ - level, /^/ - broken)" FROM "table_47" WHERE "Translation" = 'Gen.Sing. plague' | 0.113281 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| what is the maximum base excess value of patient 19412 during this month? | SELECT MAX(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19412) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'base excess') AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19412 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'base excess' GROUP BY "itemid") SELECT MAX("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.576172 |
CREATE TABLE table_name_14 (date VARCHAR, record VARCHAR)
| Which Date has a Record of 0-2? | SELECT date FROM table_name_14 WHERE record = "0-2" | SELECT "date" FROM "table_name_14" WHERE "0-2" = "record" | 0.055664 |
CREATE TABLE table_name_63 (league_cup_apps INT, fa_cup_goals VARCHAR, fa_cup_apps VARCHAR)
| What is the sum of league cup appearances for the players with FA cup goals larger than 0 and FA cup appearances less than 2? | SELECT SUM(league_cup_apps) FROM table_name_63 WHERE fa_cup_goals > 0 AND fa_cup_apps < 2 | SELECT SUM("league_cup_apps") FROM "table_name_63" WHERE "fa_cup_apps" < 2 AND "fa_cup_goals" > 0 | 0.094727 |
CREATE TABLE table_32962 ("City" TEXT, "Country" TEXT, "IATA" TEXT, "ICAO" TEXT, "Airport" TEXT)
| What is the IATA for Nanjing? | SELECT "IATA" FROM table_32962 WHERE "City" = 'nanjing' | SELECT "IATA" FROM "table_32962" WHERE "City" = 'nanjing' | 0.055664 |
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, Birth_Date TEXT, Birth_Place TEXT)
CREATE TABLE body_builder (Body_Builder_ID INT, People_ID INT, Snatch FLOAT, Clean_Jerk FLOAT, Total FLOAT)
| What is the relationship between Body_Builder_ID and Clean_Jerk ? | SELECT Body_Builder_ID, Clean_Jerk FROM body_builder | SELECT "Body_Builder_ID", "Clean_Jerk" FROM "body_builder" | 0.056641 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is minimum age of patients whose admission type is urgent and admission year is greater than or equal to 2178? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.admityear >= "2178" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "2178" <= "demographic"."admityear" AND "URGENT" = "demographic"."admission_type" | 0.134766 |
CREATE TABLE table_6560 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT)
| How much First elected has a Result of re-elected, and a Party of republican, and a District of illinois 4? | SELECT COUNT("First elected") FROM table_6560 WHERE "Result" = 're-elected' AND "Party" = 'republican' AND "District" = 'illinois 4' | SELECT COUNT("First elected") FROM "table_6560" WHERE "District" = 'illinois 4' AND "Party" = 'republican' AND "Result" = 're-elected' | 0.130859 |
CREATE TABLE table_7910 ("Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" TEXT, "Competition" TEXT, "Man of the Match" TEXT)
| What is the Date of the Competition with Man of the Match Ollie Bronnimann? | SELECT "Date" FROM table_7910 WHERE "Man of the Match" = 'ollie bronnimann' | SELECT "Date" FROM "table_7910" WHERE "Man of the Match" = 'ollie bronnimann' | 0.075195 |
CREATE TABLE table_14132 ("Season" FLOAT, "Games" FLOAT, "W-L-T" TEXT, "Attendance" FLOAT, "Average" FLOAT)
| Which Average that has a W-L-T of 5-1, and a Season smaller than 2001, and Games smaller than 6? | SELECT AVG("Average") FROM table_14132 WHERE "W-L-T" = '5-1' AND "Season" < '2001' AND "Games" < '6' | SELECT AVG("Average") FROM "table_14132" WHERE "Games" < '6' AND "Season" < '2001' AND "W-L-T" = '5-1' | 0.099609 |
CREATE TABLE company (company_id DECIMAL, name TEXT, headquarters TEXT, industry TEXT, sales_in_billion DECIMAL, profits_in_billion DECIMAL, assets_in_billion DECIMAL, market_value_in_billion DECIMAL)
CREATE TABLE employment (company_id DECIMAL, people_id DECIMAL, year_working DECIMAL)
CREATE TABLE people (people_id DECIMAL, age DECIMAL, name TEXT, nationality TEXT, graduation_college TEXT)
| What is the maximum and minimum market value of companies? | SELECT MAX(market_value_in_billion), MIN(market_value_in_billion) FROM company | SELECT MAX("market_value_in_billion"), MIN("market_value_in_billion") FROM "company" | 0.082031 |
CREATE TABLE table_name_22 (time_retired VARCHAR, laps VARCHAR, grid VARCHAR)
| Who retired at lap 77 and was grid 11? | SELECT time_retired FROM table_name_22 WHERE laps = "77" AND grid = "11" | SELECT "time_retired" FROM "table_name_22" WHERE "11" = "grid" AND "77" = "laps" | 0.078125 |
CREATE TABLE Reservations (Code INT, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate FLOAT, LastName TEXT, FirstName TEXT, Adults INT, Kids INT)
CREATE TABLE Rooms (RoomId TEXT, roomName TEXT, beds INT, bedType TEXT, maxOccupancy INT, basePrice INT, decor TEXT)
| What are the name of rooms booked by customers whose first name has 'ROY' in part, and count them by a pie chart | SELECT roomName, COUNT(roomName) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE FirstName LIKE '%ROY%' GROUP BY roomName | SELECT "roomName", COUNT("roomName") FROM "Reservations" AS "T1" JOIN "Rooms" AS "T2" ON "T1"."Room" = "T2"."RoomId" WHERE "FirstName" LIKE '%ROY%' GROUP BY "roomName" | 0.163086 |
CREATE TABLE table_test_18 ("id" INT, "bleeding" INT, "dialysis" BOOLEAN, "hct" INT, "hepatic_disease" BOOLEAN, "anaemia" BOOLEAN, "creatinine_clearance_cl" FLOAT, "polycytaemia" BOOLEAN, "thrombocytopenia" FLOAT, "kidney_disease" BOOLEAN, "body_mass_index_bmi" FLOAT, "glycosylated_hemoglobin" FLOAT, "NOUSE" FLOAT)
| diagnosed severe kidney failure ( dialysis, creatinin > 350 umol / l ) | SELECT * FROM table_test_18 WHERE kidney_disease = 1 OR dialysis = 1 OR creatinine_clearance_cl > 350 | SELECT * FROM "table_test_18" WHERE "creatinine_clearance_cl" > 350 OR "dialysis" = 1 OR "kidney_disease" = 1 | 0.106445 |
CREATE TABLE table_9521 ("Name" TEXT, "Nationality" TEXT, "Position [F ]" TEXT, "Date from [G ]" TEXT, "Date to [H ]" TEXT, "Appearances" FLOAT, "Goals" FLOAT, "Club source [I ]" TEXT)
| What is Name, when Goals is '80', and when Club Source [I ] is '71 [ dead link ]'? | SELECT "Name" FROM table_9521 WHERE "Goals" = '80' AND "Club source [I ]" = '71 [ dead link ]' | SELECT "Name" FROM "table_9521" WHERE "Club source [I ]" = '71 [ dead link ]' AND "Goals" = '80' | 0.09375 |
CREATE TABLE table_name_56 (location VARCHAR, country VARCHAR)
| What was the location of the tournament held in Spain? | SELECT location FROM table_name_56 WHERE country = "spain" | SELECT "location" FROM "table_name_56" WHERE "country" = "spain" | 0.0625 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| Calculate the minimum age of patients who were admitted on or after 2119 that had a s/p fall primary disease. | SELECT MIN(demographic.age) FROM demographic WHERE demographic.diagnosis = "S/P FALL" AND demographic.admityear >= "2119" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "2119" <= "demographic"."admityear" AND "S/P FALL" = "demographic"."diagnosis" | 0.131836 |
CREATE TABLE table_13066 ("Position" FLOAT, "Club" TEXT, "Games played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Loses" FLOAT, "Goals scored" FLOAT, "Goals conceded" FLOAT, "Points" FLOAT)
| What is the maximum goals score with less than 13 wins, greater than 86 goals were conceded, and more than 32 games lost? | SELECT MAX("Goals scored") FROM table_13066 WHERE "Wins" < '13' AND "Goals conceded" > '86' AND "Loses" > '32' | SELECT MAX("Goals scored") FROM "table_13066" WHERE "Goals conceded" > '86' AND "Loses" > '32' AND "Wins" < '13' | 0.109375 |
CREATE TABLE table_27455867_1 (audition_city VARCHAR, episode_air_date VARCHAR)
| Where were the auditions held in the episode that aired on january 27, 2011? | SELECT audition_city FROM table_27455867_1 WHERE episode_air_date = "January 27, 2011" | SELECT "audition_city" FROM "table_27455867_1" WHERE "January 27, 2011" = "episode_air_date" | 0.089844 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| what is the daily minimum value of ph in patient 015-56556 in 11/last year? | SELECT MIN(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-56556')) AND lab.labname = 'ph' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', lab.labresulttime) = '11' GROUP BY STRFTIME('%y-%m-%d', lab.labresulttime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-56556' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'ph' AND DATETIME("lab"."labresulttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "lab"."labresulttime") = '11' GROUP BY STRFTIME('%y-%m-%d', "lab"."labresulttime") | 0.713867 |
CREATE TABLE table_name_46 (date VARCHAR, outcome VARCHAR, opponents VARCHAR)
| Tell me the date for dinah pfizenmaier anna zaja and winner | SELECT date FROM table_name_46 WHERE outcome = "winner" AND opponents = "dinah pfizenmaier anna zaja" | SELECT "date" FROM "table_name_46" WHERE "dinah pfizenmaier anna zaja" = "opponents" AND "outcome" = "winner" | 0.106445 |
CREATE TABLE flight (Id VARCHAR)
CREATE TABLE operate_company (id VARCHAR, name VARCHAR)
| What are the ids and names of the companies that operated more than one flight? | SELECT T1.id, T1.name FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY T1.id HAVING COUNT(*) > 1 | SELECT "T1"."id", "T1"."name" FROM "operate_company" AS "T1" JOIN "flight" AS "t2" ON "T1"."id" = "T2"."company_id" GROUP BY "T1"."id" HAVING COUNT(*) > 1 | 0.150391 |
CREATE TABLE table_27197 ("No. in series" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( millions ) " TEXT)
| Who is the director when there is 11.21 million viewers? | SELECT "Directed by" FROM table_27197 WHERE "U.S. viewers (millions)" = '11.21' | SELECT "Directed by" FROM "table_27197" WHERE "U.S. viewers (millions)" = '11.21' | 0.079102 |
CREATE TABLE table_66514 ("Year" FLOAT, "Category" TEXT, "Nominee ( s ) " TEXT, "Episode" TEXT, "Result" TEXT)
| Who was the nominee for 2005? | SELECT "Nominee(s)" FROM table_66514 WHERE "Year" = '2005' | SELECT "Nominee(s)" FROM "table_66514" WHERE "Year" = '2005' | 0.058594 |
CREATE TABLE table_15526 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" FLOAT, "To par" TEXT)
| Who has more than 70 score with +1 to par? | SELECT "Player" FROM table_15526 WHERE "Score" > '70' AND "To par" = '+1' | SELECT "Player" FROM "table_15526" WHERE "Score" > '70' AND "To par" = '+1' | 0.073242 |
CREATE TABLE table_23308178_8 (opponent VARCHAR, date VARCHAR)
| How many games did they play on february 5? | SELECT opponent FROM table_23308178_8 WHERE date = "February 5" | SELECT "opponent" FROM "table_23308178_8" WHERE "February 5" = "date" | 0.067383 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, show me about the correlation between code and code , and group by attribute headquarter in a scatter chart. | SELECT T1.Code, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter | SELECT "T1"."Code", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" | 0.140625 |
CREATE TABLE table_name_25 (Id VARCHAR)
| What is the 2005 Lukoil oil prodroduction when in 2007 oil production 91.100 million tonnes? | SELECT 2005 FROM table_name_25 WHERE 2007 = "91.100" | SELECT 2005 FROM "table_name_25" WHERE "91.100" = 2007 | 0.052734 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose death status is 1 and procedure long title is injection or infusion of cancer chemotherapeutic substance? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "1" AND procedures.long_title = "Injection or infusion of cancer chemotherapeutic substance" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Injection or infusion of cancer chemotherapeutic substance" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "1" = "demographic"."expire_flag" | 0.264648 |
CREATE TABLE table_name_43 (losses VARCHAR, byes VARCHAR, wins VARCHAR, golden_rivers VARCHAR)
| How many losses did the golden rivers of ultima have when wins were less than 12 and byes larger than 2? | SELECT COUNT(losses) FROM table_name_43 WHERE wins < 12 AND golden_rivers = "ultima" AND byes > 2 | SELECT COUNT("losses") FROM "table_name_43" WHERE "byes" > 2 AND "golden_rivers" = "ultima" AND "wins" < 12 | 0.104492 |
CREATE TABLE table_14806 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
| Name the runner-up for margin of victory of 1 stroke and tournament of legend financial group classic | SELECT "Runner(s)-up" FROM table_14806 WHERE "Margin of victory" = '1 stroke' AND "Tournament" = 'legend financial group classic' | SELECT "Runner(s)-up" FROM "table_14806" WHERE "Margin of victory" = '1 stroke' AND "Tournament" = 'legend financial group classic' | 0.12793 |
CREATE TABLE table_name_67 (date VARCHAR, field VARCHAR)
| What is the date of the game at Commerce Bank Ballpark? | SELECT date FROM table_name_67 WHERE field = "commerce bank ballpark" | SELECT "date" FROM "table_name_67" WHERE "commerce bank ballpark" = "field" | 0.073242 |
CREATE TABLE table_11117 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the size of the crowd when North Melbourne was the home team? | SELECT "Crowd" FROM table_11117 WHERE "Home team" = 'north melbourne' | SELECT "Crowd" FROM "table_11117" WHERE "Home team" = 'north melbourne' | 0.069336 |
CREATE TABLE table_name_77 (round INT, overall VARCHAR, pick__number VARCHAR, position VARCHAR)
| What is the highest round with a pick# of 9, overll less than 468, and position of defensive back? | SELECT MAX(round) FROM table_name_77 WHERE pick__number = 9 AND position = "defensive back" AND overall < 468 | SELECT MAX("round") FROM "table_name_77" WHERE "defensive back" = "position" AND "overall" < 468 AND "pick__number" = 9 | 0.116211 |
CREATE TABLE table_66621 ("Title" TEXT, "Series" TEXT, "Director" TEXT, "Production Num." TEXT, "Release date" TEXT)
| When was Production Number 9105 released? | SELECT "Release date" FROM table_66621 WHERE "Production Num." = '9105' | SELECT "Release date" FROM "table_66621" WHERE "Production Num." = '9105' | 0.071289 |
CREATE TABLE table_61341 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
| What is the Total for the Player with a To par of +11? | SELECT MAX("Total") FROM table_61341 WHERE "To par" = '+11' | SELECT MAX("Total") FROM "table_61341" WHERE "To par" = '+11' | 0.05957 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
| Mean rep gained by answers by count of earlier answers. | WITH PostNo AS (SELECT Id AS PostId, RANK() OVER (PARTITION BY ParentId ORDER BY Id) AS N FROM Posts WHERE NOT ParentId IS NULL), VoteRep AS (SELECT 1 AS VoteTypeId, 15 AS Rep UNION SELECT 2, 10 UNION SELECT 3, -2), Raw AS (SELECT PostNo.PostId, SUM(VoteRep.Rep) AS Rep, MIN(PostNo.N) AS N FROM PostNo, Votes, VoteRep WHERE Votes.PostId = PostNo.PostId AND VoteRep.VoteTypeId = Votes.VoteTypeId GROUP BY PostNo.PostId) SELECT N, COUNT(*) AS Count, AVG(1.0 * Rep) AS Rep FROM Raw GROUP BY N ORDER BY N | WITH "VoteRep" AS (SELECT 1 AS "VoteTypeId", 15 AS "Rep" UNION SELECT 2, 10 UNION SELECT 3, -2), "Raw" AS (SELECT MAX(1) AS "_" FROM "Posts" JOIN "Votes" ON "Id" = "Votes"."PostId" JOIN "VoteRep" ON "VoteRep"."VoteTypeId" = "Votes"."VoteTypeId" WHERE NOT "ParentId" IS NULL GROUP BY "Id") SELECT "N", COUNT(*) AS "Count", AVG(1.0 * "Rep") AS "Rep" FROM "Raw" GROUP BY "N" ORDER BY "N" NULLS FIRST | 0.386719 |
CREATE TABLE table_34770 ("Event" TEXT, "Gold" TEXT, "Silver" TEXT, "Bronze" TEXT, "4th place" TEXT)
| Who won the gold when Bertil Ahlin Sweden won the silver? | SELECT "Gold" FROM table_34770 WHERE "Silver" = 'bertil ahlin sweden' | SELECT "Gold" FROM "table_34770" WHERE "Silver" = 'bertil ahlin sweden' | 0.069336 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients whose drug name is gastroview (diatrizoate meglumine & sodium)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Gastroview (Diatrizoate Meglumine & Sodium)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Gastroview (Diatrizoate Meglumine & Sodium)" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.213867 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is date of birth and primary disease of subject name david trammell? | SELECT demographic.dob, demographic.diagnosis FROM demographic WHERE demographic.name = "David Trammell" | SELECT "demographic"."dob", "demographic"."diagnosis" FROM "demographic" WHERE "David Trammell" = "demographic"."name" | 0.115234 |
CREATE TABLE table_name_27 (qual_2 VARCHAR, best VARCHAR)
| What is Qual 2, when Best is 1:27.642? | SELECT qual_2 FROM table_name_27 WHERE best = "1:27.642" | SELECT "qual_2" FROM "table_name_27" WHERE "1:27.642" = "best" | 0.060547 |
CREATE TABLE table_55569 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Where did the home team score 13.14 (92)? | SELECT "Venue" FROM table_55569 WHERE "Home team score" = '13.14 (92)' | SELECT "Venue" FROM "table_55569" WHERE "Home team score" = '13.14 (92)' | 0.070313 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients whose primary disease is cerebral aneurysm/sda and lab test fluid is urine | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "CEREBRAL ANEURYSM/SDA" = "demographic"."diagnosis" | 0.205078 |
CREATE TABLE table_203_836 (id DECIMAL, "title" TEXT, "year" DECIMAL, "platforms" TEXT, "developer" TEXT, "publisher" TEXT, "notes" TEXT)
| what was the last game created by spicy horse | SELECT "title" FROM table_203_836 WHERE "developer" = 'spicy horse' ORDER BY "year" DESC LIMIT 1 | SELECT "title" FROM "table_203_836" WHERE "developer" = 'spicy horse' ORDER BY "year" DESC NULLS LAST LIMIT 1 | 0.106445 |
CREATE TABLE Has_Allergy (StuID INT, Allergy VARCHAR)
CREATE TABLE Allergy_Type (Allergy VARCHAR, AllergyType VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
| What are the allergy types and how many allergies correspond to each one, show from low to high by the x axis. | SELECT AllergyType, COUNT(*) FROM Allergy_Type GROUP BY AllergyType ORDER BY AllergyType | SELECT "AllergyType", COUNT(*) FROM "Allergy_Type" GROUP BY "AllergyType" ORDER BY "AllergyType" NULLS FIRST | 0.105469 |
CREATE TABLE table_2075 ("Player" TEXT, "Years with Dodgers" TEXT, "Role with Dodgers" TEXT, "Inducted as" TEXT, "Year inducted" FLOAT)
| Name the player for 1945 for player | SELECT "Player" FROM table_2075 WHERE "Year inducted" = '1945' AND "Inducted as" = 'Player' | SELECT "Player" FROM "table_2075" WHERE "Inducted as" = 'Player' AND "Year inducted" = '1945' | 0.09082 |
CREATE TABLE submission (Submission_ID INT, Scores FLOAT, Author TEXT, College TEXT)
CREATE TABLE Acceptance (Submission_ID INT, Workshop_ID INT, Result TEXT)
CREATE TABLE workshop (Workshop_ID INT, Date TEXT, Venue TEXT, Name TEXT)
| Group by the result and count them by a bar chart, rank from low to high by the Y. | SELECT Result, COUNT(Result) FROM Acceptance GROUP BY Result ORDER BY COUNT(Result) | SELECT "Result", COUNT("Result") FROM "Acceptance" GROUP BY "Result" ORDER BY COUNT("Result") NULLS FIRST | 0.102539 |
CREATE TABLE table_12603 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What was the highest attendance on December 23? | SELECT MAX("Attendance") FROM table_12603 WHERE "Date" = 'december 23' | SELECT MAX("Attendance") FROM "table_12603" WHERE "Date" = 'december 23' | 0.070313 |
CREATE TABLE table_20402 ("Player" TEXT, "Matches" FLOAT, "Overs" TEXT, "Maidens" FLOAT, "Runs" FLOAT, "Wickets" FLOAT, "Average" TEXT, "Economy" TEXT, "5w" FLOAT, "10w" FLOAT, "Best Bowling" TEXT)
| What is the highest number of 5w when there was a 21.33 average? | SELECT MAX("5w") FROM table_20402 WHERE "Average" = '21.33' | SELECT MAX("5w") FROM "table_20402" WHERE "Average" = '21.33' | 0.05957 |
CREATE TABLE table_15073 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| Name the sum of week with attendance of 62,233 | SELECT SUM("Week") FROM table_15073 WHERE "Attendance" = '62,233' | SELECT SUM("Week") FROM "table_15073" WHERE "Attendance" = '62,233' | 0.06543 |
CREATE TABLE table_name_59 (mark VARCHAR, react INT)
| What is Mark, when React is less than 0.148? | SELECT mark FROM table_name_59 WHERE react < 0.148 | SELECT "mark" FROM "table_name_59" WHERE "react" < 0.148 | 0.054688 |
CREATE TABLE table_203_136 (id DECIMAL, "year" DECIMAL, "ibm model number" TEXT, "name" TEXT, "processor" TEXT, "bus" TEXT, "hd interface" TEXT, "case" TEXT, "notes" TEXT)
| how many processors have an integrated monochrome display ? | SELECT COUNT("processor") FROM table_203_136 WHERE "case" = 'desktop with integrated monochrome display' | SELECT COUNT("processor") FROM "table_203_136" WHERE "case" = 'desktop with integrated monochrome display' | 0.103516 |
CREATE TABLE table_18069 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( million ) " TEXT)
| Name the number of shows when there was 2 million views | SELECT COUNT("U.S. viewers (million)") FROM table_18069 WHERE "No. in season" = '2' | SELECT COUNT("U.S. viewers (million)") FROM "table_18069" WHERE "No. in season" = '2' | 0.083008 |
CREATE TABLE table_61558 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Results" TEXT, "Place" TEXT)
| What song has a draw more than 4 in 1st place? | SELECT "Song" FROM table_61558 WHERE "Draw" > '4' AND "Place" = '1st' | SELECT "Song" FROM "table_61558" WHERE "Draw" > '4' AND "Place" = '1st' | 0.069336 |
CREATE TABLE table_16913 ("Date" TEXT, "Tournament" TEXT, "Location" TEXT, "Purse ( $ ) " FLOAT, "Winner" TEXT, "Score" TEXT, "1st Prize ( $ ) " FLOAT)
| How many tournaments were held in Maryland? | SELECT COUNT("Tournament") FROM table_16913 WHERE "Location" = 'Maryland' | SELECT COUNT("Tournament") FROM "table_16913" WHERE "Location" = 'Maryland' | 0.073242 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
| show me the FIRST class fares from BOSTON to DENVER | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.730469 |
CREATE TABLE table_18077713_1 (revenue__us_$million_ VARCHAR, net_profit__us_$m_ VARCHAR)
| How many dollars is the revenue when the net profit is 55.4 million dollars? | SELECT revenue__us_$million_ FROM table_18077713_1 WHERE net_profit__us_$m_ = "55.4" | SELECT "revenue__us_$million_" FROM "table_18077713_1" WHERE "55.4" = "net_profit__us_$m_" | 0.087891 |
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
| Links to my comments by score. | SELECT COUNT(*) AS CommentCount, Score FROM Comments WHERE UserId = @UserId GROUP BY Score ORDER BY Score DESC | SELECT COUNT(*) AS "CommentCount", "Score" FROM "Comments" WHERE "UserId" = $UserId GROUP BY "Score" ORDER BY "Score" DESC NULLS LAST | 0.129883 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
| i want to see the cheapest flight from DENVER to PITTSBURGH | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DENVER' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PITTSBURGH' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DENVER' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'PITTSBURGH' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.47168 |
CREATE TABLE table_60280 ("Year" FLOAT, "Date ( Opening ) " TEXT, "Date ( Closing ) " TEXT, "Opening Film" TEXT, "Number of Screening" TEXT)
| What is Date (Opening), when Opening Film is 'Another Myanmar, Mae Sot'? | SELECT "Date (Opening)" FROM table_60280 WHERE "Opening Film" = 'another myanmar, mae sot' | SELECT "Date (Opening)" FROM "table_60280" WHERE "Opening Film" = 'another myanmar, mae sot' | 0.089844 |
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
| Select posts Tags is not null. | SELECT Body, Title, Tags FROM Posts WHERE AnswerCount > 10 AND NOT Tags IS NULL LIMIT 10 | SELECT "Body", "Title", "Tags" FROM "Posts" WHERE "AnswerCount" > 10 AND NOT "Tags" IS NULL LIMIT 10 | 0.097656 |
CREATE TABLE table_name_82 (singular_word VARCHAR, plural_abbreviation VARCHAR)
| A plural abbreviation of pp. is used for what singular word? | SELECT singular_word FROM table_name_82 WHERE plural_abbreviation = "pp." | SELECT "singular_word" FROM "table_name_82" WHERE "plural_abbreviation" = "pp." | 0.077148 |
CREATE TABLE table_52707 ("Rank" FLOAT, "Mountain Peak" TEXT, "State" TEXT, "Mountain Range" TEXT, "Location" TEXT)
| Which state is the location of 39.1178 n 106.4454 w in? | SELECT "State" FROM table_52707 WHERE "Location" = '39.1178°n 106.4454°w' | SELECT "State" FROM "table_52707" WHERE "Location" = '39.1178°n 106.4454°w' | 0.073242 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| how many patients received umbilical vein cath after the first cont inv mec ven <96 hrs procedure within 2 months since 2102? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'cont inv mec ven <96 hrs') AND STRFTIME('%y', procedures_icd.charttime) >= '2102') AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'umbilical vein cath') AND STRFTIME('%y', procedures_icd.charttime) >= '2102') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'umbilical vein cath' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2102') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'cont inv mec ven <96 hrs' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("procedures_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime") WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2102' | 0.996094 |
CREATE TABLE table_204_795 (id DECIMAL, "date" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "location" TEXT, "attendance" DECIMAL)
| which team did this team face against next after beating minnesota on january 29 of this season ? | SELECT "opponent" FROM table_204_795 WHERE "date" > (SELECT "date" FROM table_204_795 WHERE "date" = 'january 29, 1949') ORDER BY "date" LIMIT 1 | SELECT "opponent" FROM "table_204_795" WHERE "date" > (SELECT "date" FROM "table_204_795" WHERE "date" = 'january 29, 1949') ORDER BY "date" NULLS FIRST LIMIT 1 | 0.15625 |
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients who had received a exc/dest hrt lesion open procedure until 3 years ago two or more times. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'exc/dest hrt lesion open') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 >= 2 | WITH "t1" AS (SELECT "admissions"."subject_id", COUNT(*) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'exc/dest hrt lesion open' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "admissions"."subject_id") SELECT COUNT(DISTINCT "t1"."subject_id") FROM "t1" AS "t1" WHERE "t1"."c1" >= 2 | 0.501953 |
CREATE TABLE table_79080 ("Opposing Teams" TEXT, "Against" FLOAT, "Date" TEXT, "Venue" TEXT, "Status" TEXT)
| What is Date, when Opposing Teams is 'Australia', and when Venue is 'Twickenham , London'? | SELECT "Date" FROM table_79080 WHERE "Opposing Teams" = 'australia' AND "Venue" = 'twickenham , london' | SELECT "Date" FROM "table_79080" WHERE "Opposing Teams" = 'australia' AND "Venue" = 'twickenham , london' | 0.102539 |
CREATE TABLE table_7522 ("Event" TEXT, "2006\\u201307" TEXT, "2007\\u201308" TEXT, "2008\\u201309" TEXT, "2010\\u201311" TEXT)
| Which 2007 08 event has 2008 09 of dnp and an Event of players'? | SELECT "2007\u201308" FROM table_7522 WHERE "2008\u201309" = 'dnp' AND "Event" = 'players' | SELECT "2007\u201308" FROM "table_7522" WHERE "2008\u201309" = 'dnp' AND "Event" = 'players' | 0.089844 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
| ground transportation please in the city of BOS between airport and downtown | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'BOSTON' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" AS "CITY_0" ON "CITY_0"."city_code" = "ground_service"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "city" AS "CITY_1" ON "CITY_1"."city_code" = "airport_service"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.454102 |
CREATE TABLE table_75418 ("Rank" TEXT, "City" TEXT, "Population" FLOAT, "Area ( km 2 ) " FLOAT, "Density ( inhabitants/km 2 ) " FLOAT, "Altitude ( mslm ) " FLOAT)
| Which Population is the highest one that has a Density (inhabitants/km 2) larger than 2805.8, and a Rank of 1st, and an Altitude (mslm) smaller than 122? | SELECT MAX("Population") FROM table_75418 WHERE "Density (inhabitants/km 2 )" > '2805.8' AND "Rank" = '1st' AND "Altitude (mslm)" < '122' | SELECT MAX("Population") FROM "table_75418" WHERE "Altitude (mslm)" < '122' AND "Density (inhabitants/km 2 )" > '2805.8' AND "Rank" = '1st' | 0.135742 |
CREATE TABLE table_10657 ("Round" FLOAT, "Overall" TEXT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "Club team" TEXT)
| A round of 4 is in what position? | SELECT "Position" FROM table_10657 WHERE "Round" = '4' | SELECT "Position" FROM "table_10657" WHERE "Round" = '4' | 0.054688 |
CREATE TABLE table_name_33 (season VARCHAR, location VARCHAR, winners VARCHAR)
| Which season's winner is Panathinaikos and is located in Athens? | SELECT season FROM table_name_33 WHERE location = "athens" AND winners = "panathinaikos" | SELECT "season" FROM "table_name_33" WHERE "athens" = "location" AND "panathinaikos" = "winners" | 0.09375 |
CREATE TABLE table_name_75 (independent_socialist_ticket VARCHAR, liberal_ticket VARCHAR)
| Who was the Independent Socialist candidate who ran against the Liberal candidate Edward Goodell? | SELECT independent_socialist_ticket FROM table_name_75 WHERE liberal_ticket = "edward goodell" | SELECT "independent_socialist_ticket" FROM "table_name_75" WHERE "edward goodell" = "liberal_ticket" | 0.097656 |
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