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Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
TABLE: CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
TABLE: CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time )
TABLE: CREATE TABLE d_labitems ( row_id number, itemid number, label text )
TABLE: CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number )
TABLE: CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time )
TABLE: CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text )
TABLE: CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number )
TABLE: CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number )
TABLE: CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number )
TABLE: CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time )
TABLE: CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text )
TABLE: CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text )
### Question ###
in 08/last year what was patient 26849's last microbiology test time?
### Accurate SQL ###
| SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 26849) AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', microbiologyevents.charttime) = '08' ORDER BY microbiologyevents.charttime DESC LIMIT 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_34264 ( "Team" text, "Winners" text, "Runners-Up" text, "Third Place" text, "Fourth Place" text )
### Question ###
How many winners did Minas, which has 0 third places, have?
### Accurate SQL ###
| SELECT "Winners" FROM table_34264 WHERE "Third Place" = '0' AND "Team" = 'minas' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_18929 ( "Position" real, "Club (City/Town)" text, "Games Played" real, "W-L-D" text, "Goals For/Against" text, "Points" real )
### Question ###
On what position number is the club with a w-l-d of 5-7-4?
### Accurate SQL ###
| SELECT COUNT("Club (City/Town)") FROM table_18929 WHERE "W-L-D" = '5-7-4' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Player ( pID numeric(5,0), pName varchar(20), yCard varchar(3), HS numeric(5,0) )
TABLE: CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3) )
TABLE: CREATE TABLE College ( cName varchar(20), state varchar(2), enr numeric(5,0) )
### Question ###
Create a pie chart showing minimal enr across cname.
### Accurate SQL ###
| SELECT cName, MIN(enr) FROM College GROUP BY state |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text )
TABLE: CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text )
### Question ###
A bar chart shows the distribution of ACC_Road and Team_ID , and group by attribute All_Home.
### Accurate SQL ###
| SELECT ACC_Road, Team_ID FROM basketball_match GROUP BY All_Home, ACC_Road |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_45 (category VARCHAR, outcome VARCHAR)
### Question ###
What category was the winner in?
### Accurate SQL ###
| SELECT category FROM table_name_45 WHERE outcome = "winner" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_203_191 ( id number, "year" number, "group" text, "award" text, "result" text, "notes" text )
### Question ###
when was the last time rade serbedzija won an award for best actor ?
### Accurate SQL ###
| SELECT "year" FROM table_203_191 WHERE "award" = 'best actor' ORDER BY "year" DESC LIMIT 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
### Question ###
Calculate the average age of male patients who have sternal wound infection as their primary disease.
### Accurate SQL ###
| SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "STERNAL WOUND INFECTION" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
### Question ###
how many patients have had the procedure with short title aortocor bypas- 2 cor art?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Aortocor bypas-2 cor art" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_22 ( screening_completed VARCHAR, screening_started VARCHAR )
### Question ###
Name the screening completed for screening started 23 january 2006
### Accurate SQL ###
| SELECT screening_completed FROM table_name_22 WHERE screening_started = "23 january 2006" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_11208143_9 (stadium VARCHAR, capacity VARCHAR)
### Question ###
Which stadiums have a capacity of 51082?
### Accurate SQL ###
| SELECT stadium FROM table_11208143_9 WHERE capacity = 51082 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_97 (country VARCHAR, rank VARCHAR)
### Question ###
What Country is in Rank 2?
### Accurate SQL ###
| SELECT country FROM table_name_97 WHERE rank = 2 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_13619027_7 (high_assists VARCHAR, date VARCHAR)
### Question ###
who is the player with high assists on january 22?
### Accurate SQL ###
| SELECT high_assists FROM table_13619027_7 WHERE date = "January 22" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_77 ( constructor VARCHAR, entrant VARCHAR, driver VARCHAR )
### Question ###
Who was the constructor of the officine alfieri maserati that was driven by Sergio Mantovani?
### Accurate SQL ###
| SELECT constructor FROM table_name_77 WHERE entrant = "officine alfieri maserati" AND driver = "sergio mantovani" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_37 ( chassis VARCHAR, year VARCHAR, points VARCHAR, entrant VARCHAR )
### Question ###
Which Chassis has more than 0 points, an Entrant of Scuderia Ferrari, and was later than 1952?
### Accurate SQL ###
| SELECT chassis FROM table_name_37 WHERE points > 0 AND entrant = "scuderia ferrari" AND year > 1952 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
### Question ###
Tag Similarity by common occurance.
### Accurate SQL ###
| SELECT COUNT(t1.PostId) AS count_match, t1.TagId, tag1.TagName, tag1.Count, t2.TagId, tag2.TagName, tag2.Count FROM PostTags AS t1 INNER JOIN PostTags AS t2 ON t1.PostId = t2.PostId INNER JOIN Tags AS tag1 ON tag1.Id = t1.TagId INNER JOIN Tags AS tag2 ON tag2.Id = t2.TagId INNER JOIN Posts ON t1.PostId = Posts.Id WHERE t1.TagId < t2.TagId AND Posts.Score >= 2 AND tag1.Count > 10 AND tag2.Count > 10 GROUP BY t1.TagId, t2.TagId, tag1.TagName, tag2.TagName, tag1.Count, tag2.Count ORDER BY count_match DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_92 (merconorte INTEGER, superliga VARCHAR, interliga VARCHAR, matches VARCHAR)
### Question ###
Name the least merconorte for interliga of 2 and matches more than 260 with superliga more than 7
### Accurate SQL ###
| SELECT MIN(merconorte) FROM table_name_92 WHERE interliga = 2 AND matches > 260 AND superliga > 7 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_31 (details VARCHAR, points VARCHAR)
### Question ###
During which competition were a total of 36 points scored?
### Accurate SQL ###
| SELECT details FROM table_name_31 WHERE points = 36 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_1198175_1 (name VARCHAR, born VARCHAR)
### Question ###
What is the name when born is december 30, 1957 detroit, mi?
### Accurate SQL ###
| SELECT name FROM table_1198175_1 WHERE born = "December 30, 1957 Detroit, MI" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_20942925_1 ( directed_by VARCHAR, _number VARCHAR )
### Question ###
How many directors for #15?
### Accurate SQL ###
| SELECT COUNT(directed_by) FROM table_20942925_1 WHERE _number = 15 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_82 ( event VARCHAR, result VARCHAR )
### Question ###
What event has the result of 7th (5-6)?
### Accurate SQL ###
| SELECT event FROM table_name_82 WHERE result = "7th (5-6)" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_17 (competition VARCHAR, date VARCHAR)
### Question ###
Which Competition has the Date July 1, 2000?
### Accurate SQL ###
| SELECT competition FROM table_name_17 WHERE date = "july 1, 2000" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_79 ( away_team VARCHAR, home_team VARCHAR )
### Question ###
Who is the away side when north melbourne is the home side?
### Accurate SQL ###
| SELECT away_team FROM table_name_79 WHERE home_team = "north melbourne" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: 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 )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: 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 )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: 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 )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: 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 )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: 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 )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: 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 )
### Question ###
what 's the cheapest flight from PITTSBURGH to SAN FRANCISCO on friday
### Accurate SQL ###
| SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, airport_service AS AIRPORT_SERVICE_3, city AS CITY_0, city AS CITY_1, city AS CITY_2, city AS CITY_3, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE ((((CITY_3.city_code = AIRPORT_SERVICE_3.city_code AND CITY_3.city_name = 'SAN FRANCISCO' AND DATE_DAY_1.day_number = 25 AND DATE_DAY_1.month_number = 6 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND fare_basis.basis_days = DAYS_1.days_code AND fare.fare_basis_code = fare_basis.fare_basis_code AND fare.to_airport = AIRPORT_SERVICE_3.airport_code) AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'PITTSBURGH' AND fare.from_airport = AIRPORT_SERVICE_2.airport_code) AND DATE_DAY_0.day_number = 25 AND DATE_DAY_0.month_number = 6 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias4, airport_service AS AIRPORT_SERVICEalias5, city AS CITYalias4, city AS CITYalias5, date_day AS DATE_DAYalias2, days AS DAYSalias2, fare AS FAREalias1, fare_basis AS FARE_BASISalias1 WHERE (CITYalias5.city_code = AIRPORT_SERVICEalias5.city_code AND CITYalias5.city_name = 'SAN FRANCISCO' AND DATE_DAYalias2.day_number = 25 AND DATE_DAYalias2.month_number = 6 AND DATE_DAYalias2.year = 1991 AND DAYSalias2.day_name = DATE_DAYalias2.day_name AND FARE_BASISalias1.basis_days = DAYSalias2.days_code AND FAREalias1.fare_basis_code = FARE_BASISalias1.fare_basis_code AND FAREalias1.to_airport = AIRPORT_SERVICEalias5.airport_code) AND CITYalias4.city_code = AIRPORT_SERVICEalias4.city_code AND CITYalias4.city_name = 'PITTSBURGH' AND FAREalias1.from_airport = AIRPORT_SERVICEalias4.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_days = DAYS_0.days_code AND flight.flight_id = flight_fare.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_21991074_1 ( average VARCHAR, club VARCHAR )
### Question ###
What is Chesterfield Spires average?
### Accurate SQL ###
| SELECT average FROM table_21991074_1 WHERE club = "Chesterfield Spires" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_81 ( college_junior_club_team VARCHAR, position VARCHAR, player VARCHAR )
### Question ###
What college, junior, or club team did defence player Rory Fitzpatrick play for?
### Accurate SQL ###
| SELECT college_junior_club_team FROM table_name_81 WHERE position = "defence" AND player = "rory fitzpatrick" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_64958 ( "Year" real, "League Champion" text, "Best Blocker" text, "Rookie of the Year" text, "C.A.N.T.S.L.E.E.P. Award" text )
### Question ###
Who was the rookie of the year for the year that had the Brooklyn Bombshells as the league champion?
### Accurate SQL ###
| SELECT "Rookie of the Year" FROM table_64958 WHERE "League Champion" = 'brooklyn bombshells' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: 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 )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
### Question ###
how many patients whose religion is jehovah's witness and lab test fluid is urine?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "JEHOVAH'S WITNESS" AND lab.fluid = "Urine" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_25132 ( "Year" real, "Network" text, "Race caller" text, "s Host" text, "s Analyst" text, "Reporters" text, "Trophy presentation" text )
### Question ###
Who were the reporters for the 1977 Belmont Stakes?
### Accurate SQL ###
| SELECT "Reporters" FROM table_25132 WHERE "Year" = '1977' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_22167196_1 ( dfb_pokal VARCHAR, player VARCHAR )
### Question ###
How many dfb-pokal did kevin-prince boateng have?
### Accurate SQL ###
| SELECT COUNT(dfb_pokal) FROM table_22167196_1 WHERE player = "Kevin-Prince Boateng" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: 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 )
TABLE: 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 )
### Question ###
among patients diagnosed with icd9 code v1006, calculate the total number of those aged below 72.
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "72" AND diagnoses.icd9_code = "V1006" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_237 ( "Power Source" text, "Number of Generators" real, "Power Capacity (GW)" text, "% of total Capacity" text, "Capacity factor" text, "Annual Energy (billion kWh)" text, "% of annual production" text )
### Question ###
What is the percentage of total capacity when the energy is 120.2?
### Accurate SQL ###
| SELECT "% of total Capacity" FROM table_237 WHERE "Annual Energy (billion kWh)" = '120.2' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_4 (home_team VARCHAR, venue VARCHAR)
### Question ###
What was the score for the home team who plays their matches at the mcg venue?
### Accurate SQL ###
| SELECT home_team AS score FROM table_name_4 WHERE venue = "mcg" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_70771 ( "Year" real, "Points" text, "Rebounds" text, "Assists" text, "Steals" text, "Blocks" text )
### Question ###
Who was the leader in Steals when Travis Watson (9) was the leader in Rebounds?
### Accurate SQL ###
| SELECT "Steals" FROM table_70771 WHERE "Rebounds" = 'travis watson (9)' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )
TABLE: CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) )
TABLE: CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )
TABLE: CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) )
TABLE: CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )
TABLE: CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
TABLE: CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) )
### Question ###
For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of job_id and the average of manager_id , and group by attribute job_id.
### Accurate SQL ###
| SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL )
TABLE: CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )
### Question ###
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of revenue , and group by attribute name, could you show bar from low to high order?
### Accurate SQL ###
| SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_23 ( group VARCHAR, population VARCHAR )
### Question ###
What group has a Population of see hoy?
### Accurate SQL ###
| SELECT group FROM table_name_23 WHERE population = "see hoy" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
### Question ###
Top 150 users from bulgaria.
### Accurate SQL ###
| SELECT Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Bulgaria%' OR Location LIKE '%sofia%' ORDER BY Reputation DESC LIMIT 150 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_51 ( airline VARCHAR, notes VARCHAR )
### Question ###
What is the Airline when the notes show aoc 135?
### Accurate SQL ###
| SELECT airline FROM table_name_51 WHERE notes = "aoc 135" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE visitor (age INTEGER, Level_of_membership VARCHAR)
### Question ###
What is the average age of the visitors whose membership level is not higher than 4?
### Accurate SQL ###
| SELECT AVG(age) FROM visitor WHERE Level_of_membership <= 4 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_25341765_1 ( us_viewers__million_ VARCHAR, directed_by VARCHAR )
### Question ###
How many millions of viewers did the episode directed by Jeffrey Blitz have?
### Accurate SQL ###
| SELECT us_viewers__million_ FROM table_25341765_1 WHERE directed_by = "Jeffrey Blitz" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_55 (time VARCHAR, team VARCHAR, speed VARCHAR)
### Question ###
What is the time of the rider from the 348cc K4 Honda team with a speed of 97.743mph?
### Accurate SQL ###
| SELECT time FROM table_name_55 WHERE team = "348cc k4 honda" AND speed = "97.743mph" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
what is the average days of hospital stay of patients whose primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement?
### Accurate SQL ###
| SELECT AVG(demographic.days_stay) FROM demographic WHERE demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_203_780 ( id number, "rank" number, "diver" text, "preliminary\npoints" number, "preliminary\nrank" number, "final\npoints" number, "final\nrank" number, "final\ntotal" number )
### Question ###
what is the total number of drivers that are from japan ?
### Accurate SQL ###
| SELECT COUNT("diver") FROM table_203_780 WHERE "diver" = 'jpn' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_10586064_2 (county VARCHAR, precincts VARCHAR)
### Question ###
What is the county of precints 515?
### Accurate SQL ###
| SELECT county FROM table_10586064_2 WHERE precincts = 515 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_26 (speed VARCHAR, rank VARCHAR)
### Question ###
What is the speed for rank 1?
### Accurate SQL ###
| SELECT speed FROM table_name_26 WHERE rank = "1" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_77 ( founded VARCHAR, venue VARCHAR )
### Question ###
How many different dates are there for founded teams for the venue of champion window field?
### Accurate SQL ###
| SELECT COUNT(founded) FROM table_name_77 WHERE venue = "champion window field" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
what is the number of patients whose age is less than 20 and diagnoses icd9 code is v463?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "20" AND diagnoses.icd9_code = "V463" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE authorship (authid VARCHAR, paperid VARCHAR)
TABLE: CREATE TABLE papers (title VARCHAR, paperid VARCHAR)
TABLE: CREATE TABLE authors (authid VARCHAR, fname VARCHAR, lname VARCHAR)
### Question ###
Which papers have "Stephanie Weirich" as an author?
### Accurate SQL ###
| SELECT t3.title FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t1.fname = "Stephanie" AND t1.lname = "Weirich" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_59801 ( "Rank" real, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real )
### Question ###
What is the total that wehn Lithuania is the nation, and Silver is more than 0?
### Accurate SQL ###
| SELECT MIN("Total") FROM table_59801 WHERE "Nation" = 'lithuania' AND "Silver" > '0' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_1918850_2 (surface VARCHAR, score_in_the_final VARCHAR)
### Question ###
what is the surface of the final which had score 6-2, 6-3
### Accurate SQL ###
| SELECT surface FROM table_1918850_2 WHERE score_in_the_final = "6-2, 6-3" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_2879165_1 ( television_station VARCHAR, ioc_code VARCHAR )
### Question ###
How many television station listings have a ioc code as mas?
### Accurate SQL ###
| SELECT COUNT(television_station) FROM table_2879165_1 WHERE ioc_code = "MAS" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_27701 ( "Date of Issue" text, "Theme" text, "Denomination" text, "Design" text, "Illustration" text, "Quantity" text, "Printing Process" text, "Paper Type" text, "First Day Cover Cancellation" text )
### Question ###
What is the design when quantity is 5,000,000?
### Accurate SQL ###
| SELECT "Design" FROM table_27701 WHERE "Quantity" = '5,000,000' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_train_23 ( "id" int, "in_another_study" bool, "immune_suppression" bool, "hiv_infection" bool, "fio2" float, "head_injury" bool, "heart_disease" bool, "steroid_therapy" bool, "chemotherapy" bool, "edema" bool, "NOUSE" float )
### Question ###
immune suppression ( cytostatic chemotherapy, steroid therapy, aids )
### Accurate SQL ###
| SELECT * FROM table_train_23 WHERE immune_suppression = 1 OR chemotherapy = 1 OR steroid_therapy = 1 OR hiv_infection = 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE genre ( g_name text, rating text, most_popular_in text )
TABLE: CREATE TABLE song ( song_name text, artist_name text, country text, f_id number, genre_is text, rating number, languages text, releasedate time, resolution number )
TABLE: CREATE TABLE artist ( artist_name text, country text, gender text, preferred_genre text )
TABLE: CREATE TABLE files ( f_id number, artist_name text, file_size text, duration text, formats text )
### Question ###
What is the name and country of origin of the artist who released a song that has 'love' in its title?
### Accurate SQL ###
| SELECT T1.artist_name, T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_28298 ( "Shortscale comparison" text, "Chuquet" text, "Peletier" text, "Systematics" text, "Base 10" text, "SI Prefix" text )
### Question ###
Name the si prefix for thousand chuquet
### Accurate SQL ###
| SELECT "SI Prefix" FROM table_28298 WHERE "Chuquet" = 'thousand' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_81 (opponent VARCHAR, attendance VARCHAR)
### Question ###
Who was the opponent at the game attended by 70,012?
### Accurate SQL ###
| SELECT opponent FROM table_name_81 WHERE attendance = "70,012" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_90 (year INTEGER, binibining_pilipinas_international VARCHAR)
### Question ###
What is the smallest Year with a Binibining Pilipinas-International of jessie alice salones dixson?
### Accurate SQL ###
| SELECT MIN(year) FROM table_name_90 WHERE binibining_pilipinas_international = "jessie alice salones dixson" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
### Question ###
Python vs R on CrossValidated.
### Accurate SQL ###
| SELECT *, COUNT(*) AS count FROM (SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0) AS "month", t.TagName AS "tag" FROM Posts AS p JOIN PostTags AS pt ON pt.PostId = p.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE t.TagName IN ('python', 'r', 'sas', 'stata', 'spss')) AS X GROUP BY 'tag', month ORDER BY 'tag', month |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_86 (date VARCHAR, venue VARCHAR)
### Question ###
When was the date of an event at Tokyo venue?
### Accurate SQL ###
| SELECT date FROM table_name_86 WHERE venue = "tokyo" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_48544 ( "Tournament" text, "2002" text, "2003" text, "2004" text, "2005" text, "2006" text, "2007" text, "2008" text, "2009" text, "2010" text, "Career SR" text, "Career W\u2013L" text )
### Question ###
What is the 2007 value for the 2006 wta premier tournaments?
### Accurate SQL ###
| SELECT "2007" FROM table_48544 WHERE "2006" = 'wta premier tournaments' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Order_Items ( Order_Item_ID INTEGER, Order_ID INTEGER, Product_ID INTEGER, Order_Quantity VARCHAR(288), Other_Item_Details VARCHAR(255) )
TABLE: CREATE TABLE Products ( Product_ID VARCHAR(100), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), Product_Description VARCHAR(255), Other_Product_Service_Details VARCHAR(255) )
TABLE: CREATE TABLE Services ( Service_ID INTEGER, Service_Type_Code CHAR(15), Workshop_Group_ID INTEGER, Product_Description VARCHAR(255), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), Other_Product_Service_Details VARCHAR(255) )
TABLE: CREATE TABLE Performers_in_Bookings ( Order_ID INTEGER, Performer_ID INTEGER )
TABLE: CREATE TABLE Clients ( Client_ID INTEGER, Address_ID INTEGER, Customer_Email_Address VARCHAR(255), Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Ref_Service_Types ( Service_Type_Code CHAR(15), Parent_Service_Type_Code CHAR(15), Service_Type_Description VARCHAR(255) )
TABLE: CREATE TABLE Ref_Payment_Methods ( payment_method_code CHAR(10), payment_method_description VARCHAR(80) )
TABLE: CREATE TABLE Customer_Orders ( Order_ID INTEGER, Customer_ID INTEGER, Store_ID INTEGER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR(255) )
TABLE: CREATE TABLE Performers ( Performer_ID INTEGER, Address_ID INTEGER, Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Customer_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Invoices ( Invoice_ID INTEGER, Order_ID INTEGER, payment_method_code CHAR(15), Product_ID INTEGER, Order_Quantity VARCHAR(288), Other_Item_Details VARCHAR(255), Order_Item_ID INTEGER )
TABLE: CREATE TABLE Customers ( Customer_ID VARCHAR(100), Address_ID INTEGER, Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Customer_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Bookings ( Booking_ID INTEGER, Customer_ID INTEGER, Workshop_Group_ID VARCHAR(100), Status_Code CHAR(15), Store_ID INTEGER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR(255) )
TABLE: CREATE TABLE Stores ( Store_ID VARCHAR(100), Address_ID INTEGER, Marketing_Region_Code CHAR(15), Store_Name VARCHAR(255), Store_Phone VARCHAR(255), Store_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Drama_Workshop_Groups ( Workshop_Group_ID INTEGER, Address_ID INTEGER, Currency_Code CHAR(15), Marketing_Region_Code CHAR(15), Store_Name VARCHAR(255), Store_Phone VARCHAR(255), Store_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Marketing_Regions ( Marketing_Region_Code CHAR(15), Marketing_Region_Name VARCHAR(255), Marketing_Region_Descriptrion VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Addresses ( Address_ID VARCHAR(100), Line_1 VARCHAR(255), Line_2 VARCHAR(255), City_Town VARCHAR(255), State_County VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Bookings_Services ( Order_ID INTEGER, Product_ID INTEGER )
TABLE: CREATE TABLE Invoice_Items ( Invoice_Item_ID INTEGER, Invoice_ID INTEGER, Order_ID INTEGER, Order_Item_ID INTEGER, Product_ID INTEGER, Order_Quantity INTEGER, Other_Item_Details VARCHAR(255) )
### Question ###
What are the descriptions of the service types with product price above 100, and count them by a bar chart, I want to sort by the bars in asc.
### Accurate SQL ###
| SELECT Service_Type_Description, COUNT(Service_Type_Description) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100 GROUP BY Service_Type_Description ORDER BY Service_Type_Description |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_87 ( date VARCHAR, venue VARCHAR )
### Question ###
What is the date of the game held at Lahore?
### Accurate SQL ###
| SELECT date FROM table_name_87 WHERE venue = "lahore" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
### Question ###
Stack Exchange posts linked to from SO.
### Accurate SQL ###
| SELECT PostId FROM Comments WHERE Text LIKE '%meta.stackoverflow.com%' AND CreationDate > CURRENT_TIMESTAMP() - 90 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_19 ( result VARCHAR, attendance VARCHAR )
### Question ###
What was the result of the game played in front of 65,473?
### Accurate SQL ###
| SELECT result FROM table_name_19 WHERE attendance = "65,473" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_15672 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real )
### Question ###
What year did Cooper Car Company enter?
### Accurate SQL ###
| SELECT AVG("Year") FROM table_15672 WHERE "Entrant" = 'cooper car company' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_203_643 ( id number, "year" number, "award" text, "group" text, "result" text, "notes" text )
### Question ###
which award has he been nominated most for ?
### Accurate SQL ###
| SELECT "award" FROM table_203_643 GROUP BY "award" ORDER BY COUNT(*) DESC LIMIT 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_23285805_6 ( high_rebounds VARCHAR, record VARCHAR )
### Question ###
Who had the most rebounds when the team record was 15-27?
### Accurate SQL ###
| SELECT high_rebounds FROM table_23285805_6 WHERE record = "15-27" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time )
TABLE: CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time )
TABLE: CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
TABLE: CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time )
TABLE: CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time )
TABLE: CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
TABLE: CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
TABLE: CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text )
TABLE: CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time )
TABLE: CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number )
### Question ###
count the number of patients who were prescribed acetaminophen 325 mg tablet in the same month after receiving a beta blocker - metoprolol procedure until 2101.
### Accurate SQL ###
| SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'beta blocker - metoprolol' AND STRFTIME('%y', treatment.treatmenttime) <= '2101') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'acetaminophen 325 mg tablet' AND STRFTIME('%y', medication.drugstarttime) <= '2101') AS t2 WHERE t1.treatmenttime < t2.drugstarttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month') |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_52552 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
### Question ###
Where did Carlton play as the home team?
### Accurate SQL ###
| SELECT "Venue" FROM table_52552 WHERE "Home team" = 'carlton' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Office_locations ( building_id int, company_id int, move_in_year int )
TABLE: CREATE TABLE Companies ( id int, name text, Headquarters text, Industry text, Sales_billion real, Profits_billion real, Assets_billion real, Market_Value_billion text )
TABLE: CREATE TABLE buildings ( id int, name text, City text, Height int, Stories int, Status text )
### Question ###
List the number of each company whose office is in the building in a bar chart, and display from high to low by the names.
### Accurate SQL ###
| SELECT T3.name, COUNT(T3.name) FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T3.name ORDER BY T3.name DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Catalog_Contents ( catalog_entry_id INTEGER, catalog_level_number INTEGER, parent_entry_id INTEGER, previous_entry_id INTEGER, next_entry_id INTEGER, catalog_entry_name VARCHAR(80), product_stock_number VARCHAR(50), price_in_dollars DOUBLE, price_in_euros DOUBLE, price_in_pounds DOUBLE, capacity VARCHAR(20), length VARCHAR(20), height VARCHAR(20), width VARCHAR(20) )
TABLE: CREATE TABLE Attribute_Definitions ( attribute_id INTEGER, attribute_name VARCHAR(30), attribute_data_type VARCHAR(10) )
TABLE: CREATE TABLE Catalogs ( catalog_id INTEGER, catalog_name VARCHAR(50), catalog_publisher VARCHAR(80), date_of_publication DATETIME, date_of_latest_revision DATETIME )
TABLE: CREATE TABLE Catalog_Contents_Additional_Attributes ( catalog_entry_id INTEGER, catalog_level_number INTEGER, attribute_id INTEGER, attribute_value VARCHAR(255) )
TABLE: CREATE TABLE Catalog_Structure ( catalog_level_number INTEGER, catalog_id INTEGER, catalog_level_name VARCHAR(50) )
### Question ###
A bar chart for what are the number of the names of catalog entries with level number 8?
### Accurate SQL ###
| SELECT catalog_entry_name, COUNT(catalog_entry_name) FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" GROUP BY catalog_entry_name |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Guests ( guest_id INTEGER, gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME )
TABLE: CREATE TABLE Apartment_Buildings ( building_id INTEGER, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80) )
TABLE: CREATE TABLE Apartment_Facilities ( apt_id INTEGER, facility_code CHAR(15) )
TABLE: CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, available_yn BIT )
TABLE: CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER, apt_id INTEGER, guest_id INTEGER, booking_status_code CHAR(15), booking_start_date DATETIME, booking_end_date DATETIME )
TABLE: CREATE TABLE Apartments ( apt_id INTEGER, building_id INTEGER, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5) )
### Question ###
Return a bar chart on what are the apartment number and the room count of each apartment?, I want to rank from high to low by the bars please.
### Accurate SQL ###
| SELECT apt_number, room_count FROM Apartments ORDER BY apt_number DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_70 ( crowd INTEGER, home_team VARCHAR )
### Question ###
What was the crowd when Melbourne was the home team?
### Accurate SQL ###
| SELECT AVG(crowd) FROM table_name_70 WHERE home_team = "melbourne" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: 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 )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
provide the number of patients whose admission year is less than 2157 and procedure long title is open and other left hemicolectomy?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2157" AND procedures.long_title = "Open and other left hemicolectomy" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_35637 ( "State" text, "1990\u201395" real, "1996-00" real, "2001\u201305" real, "2006\u201310" real )
### Question ###
Which 1990 95 is the highest one that has a State of karnataka, and a 2001 05 smaller than 0.2?
### Accurate SQL ###
| SELECT MAX("1990\u201395") FROM table_35637 WHERE "State" = 'karnataka' AND "2001\u201305" < '0.2' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
give me the number of patients whose admission type is urgent and procedure short title is lap periton adhesiolysis?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.short_title = "Lap periton adhesiolysis" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_32635 ( "FAT16" text, "FAT32" text, "HPFS" text, "ISO 9660" text, "NTFS" text, "ReFS" text )
### Question ###
Which ReFS has yes v3.0 for NTFS?
### Accurate SQL ###
| SELECT "ReFS" FROM table_32635 WHERE "NTFS" = 'yes v3.0' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_54725 ( "Year" text, "Venue" text, "Winner" text, "Country" text, "Score" text )
### Question ###
what venue saw a score of 285?
### Accurate SQL ###
| SELECT "Venue" FROM table_54725 WHERE "Score" = '285' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_2866503_1 (us_air_date VARCHAR, us_viewers__million_ VARCHAR)
### Question ###
What is the U.S. air date when the U.S. viewers are 7.5 million?
### Accurate SQL ###
| SELECT us_air_date FROM table_2866503_1 WHERE us_viewers__million_ = "7.5" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_65 (rank VARCHAR, events VARCHAR)
### Question ###
What is the rank where the events is 31?
### Accurate SQL ###
| SELECT rank FROM table_name_65 WHERE events = 31 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_45 ( score VARCHAR, country VARCHAR, to_par VARCHAR )
### Question ###
Can you tell me the Score that has the Country of united states, and the To par of 8?
### Accurate SQL ###
| SELECT score FROM table_name_45 WHERE country = "united states" AND to_par = 8 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_203_839 ( id number, "station" text, "type" text, "latitude" text, "longitude" text, "el. (m)" number, "opened" number, "closed" number, "coordinates" text )
### Question ###
when was the last recorded opening date of an observatory ?
### Accurate SQL ###
| SELECT MAX("opened") FROM table_203_839 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_204_828 ( id number, "whitworth size (in)" number, "core diameter (in)" number, "threads per inch" number, "pitch (in)" number, "tapping drill size" text )
### Question ###
what is the least core diameter -lrb- in -rrb- ?
### Accurate SQL ###
| SELECT MIN("core diameter (in)") FROM table_204_828 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
### Question ###
how many patients whose ethnicity is black/cape verdean and primary disease is morbid obesity/sda?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.diagnosis = "MORBID OBESITY/SDA" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_54 (attendance VARCHAR, score VARCHAR, loss VARCHAR)
### Question ###
How many people were in attendance when the Washington Nationals had a score of 7-3 and a loss of Worrell (0-1)?
### Accurate SQL ###
| SELECT COUNT(attendance) FROM table_name_54 WHERE score = "7-3" AND loss = "worrell (0-1)" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time )
TABLE: CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text )
TABLE: CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time )
TABLE: CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
TABLE: CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
TABLE: CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time )
TABLE: CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time )
TABLE: CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time )
TABLE: CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number )
TABLE: CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
### Question ###
did patient 006-40255 since 2103 receive the diagnosis of hepatic dysfunction - moderate?
### Accurate SQL ###
| SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-40255')) AND diagnosis.diagnosisname = 'hepatic dysfunction - moderate' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2103' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_49444 ( "Round" real, "Pick" real, "Player" text, "Nationality" text, "School/Club Team" text )
### Question ###
When Jeb Barlow was picked in round smaller than 7, how many player in totals were picked?
### Accurate SQL ###
| SELECT COUNT("Pick") FROM table_49444 WHERE "Player" = 'jeb barlow' AND "Round" < '7' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_75 (year INTEGER, venue VARCHAR, event VARCHAR)
### Question ###
Which Year has a Venue of bydgoszcz, poland, and an Event of junior team?
### Accurate SQL ###
| SELECT AVG(year) FROM table_name_75 WHERE venue = "bydgoszcz, poland" AND event = "junior team" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_75 ( round INTEGER, school_club_team VARCHAR )
### Question ###
In what Round was the Memphis Player drafted?
### Accurate SQL ###
| SELECT AVG(round) FROM table_name_75 WHERE school_club_team = "memphis" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_27 (winner VARCHAR, circuit VARCHAR)
### Question ###
Who was the winner of the Adelaide International Raceway circuit?
### Accurate SQL ###
| SELECT winner FROM table_name_27 WHERE circuit = "adelaide international raceway" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
Report the number of patients less than 71 years who had an epithelial cells lab test.
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "71" AND lab.label = "Epithelial Cells" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
### Question ###
what is average age of patients whose admission type is emergency and primary disease is t5 fracture?
### Accurate SQL ###
| SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "T5 FRACTURE" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_204_75 ( id number, "year" number, "place" text, "gold" text, "silver" text, "bronze" text )
### Question ###
which country has the most bronze medals ?
### Accurate SQL ###
| SELECT "bronze" FROM table_204_75 GROUP BY "bronze" ORDER BY COUNT(*) DESC LIMIT 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_90 ( winning_score VARCHAR, runner_s__up VARCHAR )
### Question ###
What was Olazabal's winning score in the event in which Phillip Price finished 2nd?
### Accurate SQL ###
| SELECT winning_score FROM table_name_90 WHERE runner_s__up = "phillip price" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
### Question ###
count the number of patients whose age is less than 61 and days of hospital stay is greater than 23?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "61" AND demographic.days_stay > "23" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
TABLE: 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 )
### Question ###
Provide the number of patients who were admitted before the year 2123 and had a lab test nonsquamous epithelial cell.
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2123" AND lab.label = "NonSquamous Epithelial Cell" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE competition_record ( Competition_ID int, Farm_ID int, Rank int )
TABLE: CREATE TABLE city ( City_ID int, Official_Name text, Status text, Area_km_2 real, Population real, Census_Ranking text )
TABLE: CREATE TABLE farm_competition ( Competition_ID int, Year int, Theme text, Host_city_ID int, Hosts text )
TABLE: CREATE TABLE farm ( Farm_ID int, Year int, Total_Horses real, Working_Horses real, Total_Cattle real, Oxen real, Bulls real, Cows real, Pigs real, Sheep_and_Goats real )
### Question ###
A bar chart about what are the statuses and average populations of each city?, display by the x axis from low to high.
### Accurate SQL ###
| SELECT Status, AVG(Population) FROM city GROUP BY Status ORDER BY Status |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_75595 ( "Outcome" text, "Date" text, "Tournament" text, "Surface" text, "Opponent" text, "Score" text )
### Question ###
What was the outcome of the match against Stacy Margolin?
### Accurate SQL ###
| SELECT "Outcome" FROM table_75595 WHERE "Opponent" = 'stacy margolin' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
count the number of patients diagnosed with acute diastolic heart failure who had ascitic fluid lab test.
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Acute diastolic heart failure" AND lab.fluid = "Ascites" |
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