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CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) 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 ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) 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 ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) 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 ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE VoteTypes ( Id number, Name text ) 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 ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) 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 ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE PostTypes ( Id number, Name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Active Users able to vote and active since first day of primary election.
SELECT COUNT(Id) FROM Users WHERE LastAccessDate > '2017-07-24 00:00:01' AND Reputation > 150
sede
CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- As far as prerequisites , is ENDODONT 652 necessary ?
SELECT DISTINCT COURSE_1.department, COURSE_1.name, COURSE_1.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_0.department = 'ENDODONT' AND COURSE_0.number = 652 AND COURSE_1.course_id = course_prerequisite.course_id
advising
CREATE TABLE table_27133147_3 ( date_of_vacancy VARCHAR, manner_of_departure VARCHAR, position_in_table VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- If the position in table is 10th, and the manner of departure was resigned, what was the date of vacancy?
SELECT date_of_vacancy FROM table_27133147_3 WHERE manner_of_departure = "Resigned" AND position_in_table = "10th"
sql_create_context
CREATE TABLE table_name_94 ( attendance INTEGER, result VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the highest attendance at a game with a result of 5-1?
SELECT MAX(attendance) FROM table_name_94 WHERE result = "5-1"
sql_create_context
CREATE TABLE table_25186 ( "Romanised name" text, "Chinese name" text, "age at appointment" real, "Portfolio" text, "Prior occupation" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was Anthony Leung Kam-Chung previous position?
SELECT "Portfolio" FROM table_25186 WHERE "Romanised name" = 'Anthony Leung Kam-chung'
wikisql
CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what are the flights from BOSTON to SAN FRANCISCO
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
atis
CREATE TABLE table_27047 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who wrote the episode that originally aired April 29, 1994?
SELECT "Written by" FROM table_27047 WHERE "Original air date" = 'April 29, 1994'
wikisql
CREATE TABLE table_name_97 ( council VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What's the 2003 result for the falkirk council?
SELECT 2003 AS _result FROM table_name_97 WHERE council = "falkirk"
sql_create_context
CREATE TABLE table_name_10 ( goals_conceded INTEGER, points VARCHAR, lost VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the total of Goals Conceded that has Points smaller than 21 and a Lost thats smaller than 8?
SELECT SUM(goals_conceded) FROM table_name_10 WHERE points < 21 AND lost < 8
sql_create_context
CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE person_info_hz_info ( RYBH text, KH number, KLX number, YLJGDM number ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE hz_info ( KH text, KLX number, YLJGDM text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 患者90265376的全部检查结果指标记录在在00年7月28日到11年6月19日内的质检人为32482264的检测指标流水号是多少?
SELECT jyjgzbb.JYZBLSH FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.RYBH = person_info.RYBH WHERE person_info_hz_info.RYBH = '90265376' AND jyjgzbb.JYRQ BETWEEN '2000-07-28' AND '2011-06-19' AND jyjgzbb.JCRGH = '32482264' UNION SELECT jyjgzbb.JYZBLSH FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.RYBH = person_info.RYBH WHERE person_info.RYBH = '90265376' AND jyjgzbb.JYRQ BETWEEN '2000-07-28' AND '2011-06-19' AND jyjgzbb.JCRGH = '32482264'
css
CREATE TABLE prereq ( course_id varchar(8), prereq_id varchar(8) ) CREATE TABLE student ( ID varchar(5), name varchar(20), dept_name varchar(20), tot_cred numeric(3,0) ) CREATE TABLE course ( course_id varchar(8), title varchar(50), dept_name varchar(20), credits numeric(2,0) ) CREATE TABLE department ( dept_name varchar(20), building varchar(15), budget numeric(12,2) ) CREATE TABLE takes ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2) ) CREATE TABLE classroom ( building varchar(15), room_number varchar(7), capacity numeric(4,0) ) CREATE TABLE teaches ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0) ) CREATE TABLE section ( course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), building varchar(15), room_number varchar(7), time_slot_id varchar(4) ) CREATE TABLE time_slot ( time_slot_id varchar(4), day varchar(1), start_hr numeric(2), start_min numeric(2), end_hr numeric(2), end_min numeric(2) ) CREATE TABLE instructor ( ID varchar(5), name varchar(20), dept_name varchar(20), salary numeric(8,2) ) CREATE TABLE advisor ( s_ID varchar(5), i_ID varchar(5) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Bar chart x axis building y axis the average of capacity, sort bars in asc order.
SELECT building, AVG(capacity) FROM classroom GROUP BY building ORDER BY building
nvbench
CREATE TABLE table_37644 ( "Location (State, City)" text, "USN 2013" real, "BW 2013" real, "Forbes 2011" real, "Ec 2013" real, "FT 2011" real, "AE 2011" real, "CNN 2011" real, "BI 2013" real, "ARWU 2012" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the average AE 2011 ranking with a Forbes 2011 ranking of 24 and a FT 2011 ranking less than 44?
SELECT AVG("AE 2011") FROM table_37644 WHERE "Forbes 2011" = '24' AND "FT 2011" < '44'
wikisql
CREATE TABLE table_name_47 ( result VARCHAR, category VARCHAR, year VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Result with a Category of album of the year in a Year that is 2011?
SELECT result FROM table_name_47 WHERE category = "album of the year" AND year = 2011
sql_create_context
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 ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- count the number of times that patient 035-4428 had received a alt (sgpt) laboratory test in 01/last year.
SELECT COUNT(*) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-4428')) AND lab.labname = 'alt (sgpt)' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', lab.labresulttime) = '01'
eicu
CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- fares and flights from PITTSBURGH to PHILADELPHIA
SELECT DISTINCT fare.fare_id, flight.airline_code, flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
atis
CREATE TABLE table_43165 ( "Rank" real, "Name" text, "S-League" text, "Singapore Cup" text, "Singapore League Cup" text, "Total" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Singapore Cup when the S-League is 5 (14)?
SELECT "Singapore Cup" FROM table_43165 WHERE "S-League" = '5 (14)'
wikisql
CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE code_description ( code varchar, description text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- please list the flight schedule from BALTIMORE to SAN FRANCISCO on FRIDAY nights
SELECT DISTINCT FLIGHT_0.arrival_time, FLIGHT_0.departure_time FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight AS FLIGHT_0, flight AS FLIGHT_1, flight_leg WHERE ((((FLIGHT_1.departure_time <= 2400 AND FLIGHT_1.departure_time >= 1800) AND days.day_name = 'FRIDAY' AND FLIGHT_1.flight_days = days.days_code) OR ((FLIGHT_1.departure_time <= 600 AND FLIGHT_1.departure_time >= 0) AND days.day_name = 'SATURDAY' AND FLIGHT_1.flight_days = days.days_code)) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND FLIGHT_1.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND FLIGHT_0.flight_id = flight_leg.leg_flight AND FLIGHT_1.flight_id = flight_leg.flight_id AND FLIGHT_1.from_airport = AIRPORT_SERVICE_0.airport_code
atis
CREATE TABLE t_kc21 ( CLINIC_ID text, CLINIC_TYPE text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc21_t_kc22 ( MED_CLINIC_ID text, MED_EXP_DET_ID number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_CLINIC_ID text, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 阿立哌唑口腔崩解片在医疗就诊85094791445中开出的医疗发票项目类别是哪个类别的?
SELECT t_kc22.MED_INV_ITEM_TYPE FROM t_kc22 JOIN t_kc21_t_kc22 JOIN t_kc21 ON t_kc21_t_kc22.MED_EXP_DET_ID = t_kc22.MED_EXP_DET_ID AND t_kc21_t_kc22.MED_CLINIC_ID = t_kc21.MED_CLINIC_ID WHERE t_kc21.MED_CLINIC_ID = '85094791445' AND t_kc22.SOC_SRT_DIRE_NM = '阿立哌唑口腔崩解片'
css
CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) 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 ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many patients died in the same hospital visit after being diagnosed since 1 year ago with hypotension / pressor dependent?
SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime, t1.patienthealthsystemstayid FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypotension / pressor dependent') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND DATETIME(t1.diagnosistime) >= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.patienthealthsystemstayid = t3.patienthealthsystemstayid
eicu
CREATE TABLE table_13555999_1 ( gender VARCHAR, junior_high_school__12_15_yrs_ VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the gender of the junior high school is 24mm?
SELECT gender FROM table_13555999_1 WHERE junior_high_school__12_15_yrs_ = "24mm"
sql_create_context
CREATE TABLE table_62352 ( "Name" text, "Hometown" text, "Games" text, "Goals" text, "Assists" text, "Points" text, "Pen. Min." text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many assists did the player with 54 penalty minutes have?
SELECT "Assists" FROM table_62352 WHERE "Pen. Min." = '54'
wikisql
CREATE TABLE table_72603 ( "Series #" real, "Season #" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text, "U.S. viewers (million)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which episode number drew in 3.84 million viewers in the U.S.?
SELECT MAX("Series #") FROM table_72603 WHERE "U.S. viewers (million)" = '3.84'
wikisql
CREATE TABLE table_2159571_2 ( successor VARCHAR, district VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who is every successor for the Washington 3rd District?
SELECT successor FROM table_2159571_2 WHERE district = "Washington 3rd"
sql_create_context
CREATE TABLE table_name_49 ( opponent VARCHAR, week VARCHAR, result VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who was the opponent before week 8 when the result was l 28-17?
SELECT opponent FROM table_name_49 WHERE week < 8 AND result = "l 28-17"
sql_create_context
CREATE TABLE table_60701 ( "Season" text, "League" text, "Teams" text, "Home" text, "Away" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What team has a season of 2009-10?
SELECT "Teams" FROM table_60701 WHERE "Season" = '2009-10'
wikisql
CREATE TABLE table_225102_4 ( vacator VARCHAR, reason_for_change VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the vacator for reason for change died january 12, 1826
SELECT vacator FROM table_225102_4 WHERE reason_for_change = "Died January 12, 1826"
sql_create_context
CREATE TABLE table_64099 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Date" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What home team played against Crystal Palace?
SELECT "Home team" FROM table_64099 WHERE "Away team" = 'crystal palace'
wikisql
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- count the number of patients whose age is less than 80 and drug name is oseltamivir?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "80" AND prescriptions.drug = "Oseltamivir"
mimicsql_data
CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) -- Using valid SQLite, answer the following questions for the tables provided above. -- i want to go from DENVER to OAKLAND
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
atis
CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) 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) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) 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) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Group and count the city attribute of the location table to visualize a bar chart, show by the names from low to high.
SELECT CITY, COUNT(CITY) FROM locations GROUP BY CITY ORDER BY CITY
nvbench
CREATE TABLE table_204_508 ( id number, "no." number, "race title" text, "track" text, "date" text, "tv" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the name of the first race title ?
SELECT "race title" FROM table_204_508 ORDER BY "date" LIMIT 1
squall
CREATE TABLE employee ( eid number(9,0), name varchar2(30), salary number(10,2) ) CREATE TABLE aircraft ( aid number(9,0), name varchar2(30), distance number(6,0) ) CREATE TABLE flight ( flno number(4,0), origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0) ) CREATE TABLE certificate ( eid number(9,0), aid number(9,0) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the destinations and number of flights to each one Visualize by bar chart, and sort y-axis in desc order.
SELECT destination, COUNT(*) FROM flight GROUP BY destination ORDER BY COUNT(*) DESC
nvbench
CREATE TABLE table_23715 ( "Year" real, "District" real, "Blocks" real, "Panchayat" real, "Village" real, "Human (in Lakh )" text, "Animal (in Lakh )" text, "Total Area (in Lakh ha )" text, "Cropped area (in Lakh ha )" text, "Crop Damaged (in Lakh INR )" text, "House Affected" real, "Public Property Damaged (in Lakh INR )" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many districts had crib damage of 1,164.50?
SELECT COUNT("District") FROM table_23715 WHERE "Crop Damaged (in Lakh INR )" = '1,164.50'
wikisql
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 ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- show the top three most frequent output events until 2100?
SELECT t1.celllabel FROM (SELECT intakeoutput.celllabel, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM intakeoutput WHERE intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y', intakeoutput.intakeoutputtime) <= '2100' GROUP BY intakeoutput.celllabel) AS t1 WHERE t1.c1 <= 3
eicu
CREATE TABLE table_74075 ( "Salary range" text, "Indians" text, "Pakistanis" text, "Nepalese" text, "Working force of HK" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- If the Indians are 8.2%, what is the salary range?
SELECT "Salary range" FROM table_74075 WHERE "Indians" = '8.2%'
wikisql
CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- i'm planning a trip to PITTSBURGH and i live in DENVER can you help me
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
atis
CREATE TABLE table_206217_2 ( epoch__utc_ VARCHAR, periselene__km_ VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is every entry for epoch if periselene is 2,291.250?
SELECT epoch__utc_ FROM table_206217_2 WHERE periselene__km_ = "2,291.250"
sql_create_context
CREATE TABLE table_24425976_2 ( production_code VARCHAR, season VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many production codes are there for episode 10 in the season?
SELECT COUNT(production_code) FROM table_24425976_2 WHERE season = "10"
sql_create_context
CREATE TABLE table_58805 ( "Date" text, "Opponent#" text, "Site" text, "Result" text, "Attendance" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the result of the game that was attended by 41,650 people?
SELECT "Result" FROM table_58805 WHERE "Attendance" = '41,650'
wikisql
CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_CLINIC_ID text, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE mzb ( CLINIC_ID text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID number, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_CLINIC_ID text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) CREATE TABLE gyb ( CLINIC_ID text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID number, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE qtb ( CLINIC_ID text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID number, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE zyb ( CLINIC_ID text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID number, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 把2007年6月24日到2016年11月13日期间患者76533732一共看过多少家医院统计了解一下
SELECT COUNT(qtb.MED_SER_ORG_NO) FROM qtb WHERE qtb.PERSON_ID = '76533732' AND qtb.IN_HOSP_DATE BETWEEN '2007-06-24' AND '2016-11-03' UNION SELECT COUNT(gyb.MED_SER_ORG_NO) FROM gyb WHERE gyb.PERSON_ID = '76533732' AND gyb.IN_HOSP_DATE BETWEEN '2007-06-24' AND '2016-11-03' UNION SELECT COUNT(zyb.MED_SER_ORG_NO) FROM zyb WHERE zyb.PERSON_ID = '76533732' AND zyb.IN_HOSP_DATE BETWEEN '2007-06-24' AND '2016-11-03' UNION SELECT COUNT(mzb.MED_SER_ORG_NO) FROM mzb WHERE mzb.PERSON_ID = '76533732' AND mzb.IN_HOSP_DATE BETWEEN '2007-06-24' AND '2016-11-03'
css
CREATE TABLE jobs ( job_id text, job_title text, min_salary number, max_salary number ) CREATE TABLE employees ( employee_id number, first_name text, last_name text, email text, phone_number text, hire_date time, job_id text, salary number, commission_pct number, manager_id number, department_id number ) CREATE TABLE job_history ( employee_id number, start_date time, end_date time, job_id text, department_id number ) CREATE TABLE departments ( department_id number, department_name text, manager_id number, location_id number ) CREATE TABLE countries ( country_id text, country_name text, region_id number ) CREATE TABLE regions ( region_id number, region_name text ) CREATE TABLE locations ( location_id number, street_address text, postal_code text, city text, state_province text, country_id text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the full names of employees who with in department 70 or 90?
SELECT first_name, last_name FROM employees WHERE department_id = 70 OR department_id = 90
spider
CREATE TABLE bdmzjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH number, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, YLJGDM number, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE wdmzjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH number, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, YLJGDM number, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 在47241272961住院就诊中,门诊的主要诊断如何?编码类型、编码列表、名称列表分别是啥
SELECT wdmzjzjlb.MZBMLX, wdmzjzjlb.MZZDBM, wdmzjzjlb.MZZDMC FROM wdmzjzjlb WHERE wdmzjzjlb.JZLSH = '47241272961' UNION SELECT bdmzjzjlb.MZBMLX, bdmzjzjlb.MZZDBM, bdmzjzjlb.MZZDMC FROM bdmzjzjlb WHERE bdmzjzjlb.JZLSH = '47241272961'
css
CREATE TABLE table_20557 ( "#" real, "Date" text, "at/vs." text, "Opponent" text, "Score" text, "Attendance" real, "Record" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- When was the game played if the attendance is less than 6427.0?
SELECT "Date" FROM table_20557 WHERE "Attendance" < '6427.0'
wikisql
CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) 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 ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what were the four most frequent microbiology tests ordered for a patient within 2 months after receiving paracentesis in this year?
SELECT t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'paracentesis' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, microlab.culturesite, microlab.culturetakentime FROM microlab JOIN patient ON microlab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(microlab.culturetakentime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.culturetakentime AND DATETIME(t2.culturetakentime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.culturesite) AS t3 WHERE t3.c1 <= 4
eicu
CREATE TABLE table_name_79 ( nation VARCHAR, rank VARCHAR, total VARCHAR, bronze VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What nation had a medal total of less than 10, less than 1 bronze medal, in rank 11?
SELECT nation FROM table_name_79 WHERE total < 10 AND bronze < 1 AND rank = "11"
sql_create_context
CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE wdmzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH number, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, XL number, YLJGDM number, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE bdmzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH number, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, XL number, YLJGDM number, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 从二00四年十月五日到二00八年十一月八日这段时间,患者苗宏壮检测指标938237找的哪些医务人员做的,这些医务人员的工号和姓名报一下
SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM person_info JOIN hz_info JOIN wdmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = wdmzjzjlb.YLJGDM AND hz_info.KH = wdmzjzjlb.KH AND hz_info.KLX = wdmzjzjlb.KLX AND wdmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND wdmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2004-10-05' AND '2008-11-08' AND person_info.XM = '苗宏壮' AND jyjgzbb.JCZBDM = '938237' UNION SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM person_info JOIN hz_info JOIN bdmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = bdmzjzjlb.YLJGDM AND hz_info.KH = bdmzjzjlb.KH AND hz_info.KLX = bdmzjzjlb.KLX AND bdmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND bdmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2004-10-05' AND '2008-11-08' AND person_info.XM = '苗宏壮' AND jyjgzbb.JCZBDM = '938237' UNION SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2004-10-05' AND '2008-11-08' AND person_info.XM = '苗宏壮' AND jyjgzbb.JCZBDM = '938237'
css
CREATE TABLE table_45339 ( "Year" real, "Domestic freight" real, "Domestic mail" real, "International freight" real, "International mail" real, "Total freight and mail" real, "Change" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the international mail with the lowest number to have less than 72 domestic freight, 0 domestic mail later than 2012 with total freight and mail more than 4,695?
SELECT MIN("International mail") FROM table_45339 WHERE "Domestic freight" < '72' AND "Domestic mail" = '0' AND "Year" < '2012' AND "Total freight and mail" > '4,695'
wikisql
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many patients whose admission location is clinic referral/premature underwent endoscopic sphincterotomy and papillotomy?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.long_title = "Endoscopic sphincterotomy and papillotomy"
mimicsql_data
CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) -- Using valid SQLite, answer the following questions for the tables provided above. -- when do planes leave BOSTON for SAN FRANCISCO
SELECT DISTINCT flight.departure_time FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
atis
CREATE TABLE table_11655 ( "Series #" real, "Season #" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who wrote series number 99?
SELECT "Written by" FROM table_11655 WHERE "Series #" = '99'
wikisql
CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_CLINIC_ID text, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_CLINIC_ID text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text, t_kc21_CLINIC_ID text, t_kc21_CLINIC_TYPE text, t_kc21_COMP_ID text, t_kc21_DATA_ID text, t_kc21_DIFF_PLACE_FLG number, t_kc21_FERTILITY_STS number, t_kc21_FLX_MED_ORG_ID text, t_kc21_HOSP_LEV number, t_kc21_HOSP_STS number, t_kc21_IDENTITY_CARD text, t_kc21_INPT_AREA_BED text, t_kc21_INSURED_IDENTITY number, t_kc21_INSURED_STS text, t_kc21_INSU_TYPE text, t_kc21_IN_DIAG_DIS_CD text, t_kc21_IN_DIAG_DIS_NM text, t_kc21_IN_HOSP_DATE time, t_kc21_IN_HOSP_DAYS number, t_kc21_MAIN_COND_DES text, t_kc21_MED_AMOUT number, t_kc21_MED_ORG_DEPT_CD text, t_kc21_MED_ORG_DEPT_NM text, t_kc21_MED_SER_ORG_NO text, t_kc21_MED_TYPE number, t_kc21_OUT_DIAG_DIS_CD text, t_kc21_OUT_DIAG_DIS_NM text, t_kc21_OUT_DIAG_DOC_CD text, t_kc21_OUT_DIAG_DOC_NM text, t_kc21_OUT_HOSP_DATE time, t_kc21_OVERALL_CD_ORG text, t_kc21_OVERALL_CD_PERSON text, t_kc21_PERSON_AGE number, t_kc21_PERSON_ID text, t_kc21_PERSON_NM text, t_kc21_PERSON_SEX number, t_kc21_REIMBURSEMENT_FLG number, t_kc21_REMOTE_SETTLE_FLG text, t_kc21_SERVANT_FLG text, t_kc21_SOC_SRT_CARD text, t_kc21_SYNC_TIME time, t_kc21_TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 给病患33250252开出均价不足3095.33元的药品在哪几次医疗记录中?分别列出医疗就诊编号分别是多少?
SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.t_kc21_PERSON_ID = '33250252' AND NOT t_kc22.MED_CLINIC_ID IN (SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.AMOUNT >= 3095.33)
css
CREATE TABLE table_60522 ( "Pick #" real, "Player" text, "Nationality" text, "Position" text, "NHL team" text, "Team from" text, "League from" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which NHL team chose an American player from the United States Hockey League?
SELECT "NHL team" FROM table_60522 WHERE "Nationality" = 'united states' AND "League from" = 'united states hockey league'
wikisql
CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) 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 ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) 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 ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) 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 ) 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 ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what were the four most frequently ordered laboratory tests for patients who had been diagnosed with dmii circ uncntrld previously in the same month,?
SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t3.itemid FROM (SELECT t2.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'dmii circ uncntrld')) AS t1 JOIN (SELECT admissions.subject_id, labevents.itemid, labevents.charttime FROM labevents JOIN admissions ON labevents.hadm_id = admissions.hadm_id) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.itemid) AS t3 WHERE t3.c1 <= 4)
mimic_iii
CREATE TABLE table_name_76 ( lead VARCHAR, country VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who was Canada's lead?
SELECT lead FROM table_name_76 WHERE country = "canada"
sql_create_context
CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE area ( course_id int, area varchar ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Has 154 been taught by Prof. Kristin Vaneyk many times ?
SELECT COUNT(*) FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.number = 154 AND instructor.name LIKE '%Kristin Vaneyk%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id
advising
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- calculate the average age of male patients who were admitted to hospital on an urgent basis.
SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.admission_type = "URGENT"
mimicsql_data
CREATE TABLE table_name_28 ( score VARCHAR, opponent VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the score of the Devil Rays on April 24?
SELECT score FROM table_name_28 WHERE opponent = "devil rays" AND date = "april 24"
sql_create_context
CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_CLINIC_ID text, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc21_t_kc22 ( MED_CLINIC_ID text, MED_EXP_DET_ID number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) CREATE TABLE t_kc21 ( CLINIC_ID text, CLINIC_TYPE text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 我想知道患者杨艳芳的住院次数,就在一七年四月十二日到一八年八月二十五日的这段时间里
SELECT COUNT(*) FROM t_kc21 WHERE t_kc21.PERSON_NM = '杨艳芳' AND t_kc21.IN_HOSP_DATE BETWEEN '2017-04-12' AND '2018-08-25' AND t_kc21.CLINIC_TYPE = '住院'
css
CREATE TABLE table_dev_15 ( "id" int, "hemoglobin_a1c_hba1c" float, "hepatic_enzymes" bool, "platelet_count" float, "liver_disease" bool, "hba1c" float, "triglyceride_tg" float, "NOUSE" float ) -- Using valid SQLite, answer the following questions for the tables provided above. -- hba1c between 7.5 % _ 10.5 %
SELECT * FROM table_dev_15 WHERE hba1c >= 7.5 AND hemoglobin_a1c_hba1c <= 10.5
criteria2sql
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- give me the number of patients whose admission year is less than 2123 and lab test category is blood gas?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2123" AND lab."CATEGORY" = "Blood Gas"
mimicsql_data
CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Give me a pie chart to reflect the proportion of Team_Name and Team_ID.
SELECT Team_Name, Team_ID FROM basketball_match
nvbench
CREATE TABLE table_3865 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the date for washington
SELECT "Date" FROM table_3865 WHERE "Team" = 'Washington'
wikisql
CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Allergy_Type ( Allergy VARCHAR(20), AllergyType VARCHAR(20) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- A bar chart showing the number of first name for all female students. Their sex is F.
SELECT Fname, COUNT(Fname) FROM Student WHERE Sex = 'F' GROUP BY Fname
nvbench
CREATE TABLE voting_record ( stuid number, registration_date text, election_cycle text, president_vote number, vice_president_vote number, secretary_vote number, treasurer_vote number, class_president_vote number, class_senator_vote number ) CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Find the distinct last names of all the students who have president votes and whose advisor is not 2192.
SELECT DISTINCT T1.lname FROM student AS T1 JOIN voting_record AS T2 ON T1.stuid = president_vote EXCEPT SELECT DISTINCT lname FROM student WHERE advisor = "2192"
spider
CREATE TABLE table_name_81 ( name VARCHAR, assumed_office VARCHAR, district VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the name of the Senator in the O District who assumed office in 2013?
SELECT name FROM table_name_81 WHERE assumed_office = 2013 AND district = "o"
sql_create_context
CREATE TABLE table_name_83 ( spouse VARCHAR, name VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the spouse for louise of hesse-kassel
SELECT spouse FROM table_name_83 WHERE name = "louise of hesse-kassel"
sql_create_context
CREATE TABLE table_16881 ( "No. in series" text, "No. in season" text, "Title" text, "Directed by" text, "Written by" text, "Featured character(s)" text, "Original air date" text, "U.S. viewers (million)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- List the episode whose number in the series is 111.
SELECT "No. in season" FROM table_16881 WHERE "No. in series" = '111'
wikisql
CREATE TABLE table_name_18 ( date VARCHAR, opponent VARCHAR, result VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the date of the game against the Lizards with a result of w 18-17?
SELECT date FROM table_name_18 WHERE opponent = "lizards" AND result = "w 18-17"
sql_create_context
CREATE TABLE table_32395 ( "Player" text, "Team" text, "Date" text, "Opposition" text, "Game" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- On which date did Ger Loughnane from Team Clare have a match?
SELECT "Date" FROM table_32395 WHERE "Team" = 'clare' AND "Player" = 'ger loughnane'
wikisql
CREATE TABLE table_18142 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Results" text, "Candidates" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What party does Bill McCollum belong to?
SELECT "Party" FROM table_18142 WHERE "Incumbent" = 'Bill McCollum'
wikisql
CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE jybgb_jyjgzbb ( JYZBLSH number, YLJGDM text, jyjgzbb_id number ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YQBH text, YQMC text, jyjgzbb_id number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 哪些人在93390516653的医疗就诊中审核检验报告单是超过21份的?列出这些审核人的工号,还有姓名也列出来
SELECT jybgb.SHRGH, jybgb.SHRXM FROM jybgb WHERE jybgb.JZLSH = '93390516653' GROUP BY jybgb.SHRGH HAVING COUNT(*) > 21
css
CREATE TABLE table_name_60 ( number_range VARCHAR, quantity VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the number range for the 56 quantity?
SELECT number_range FROM table_name_60 WHERE quantity = "56"
sql_create_context
CREATE TABLE table_14954150_1 ( result VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the result of the game on October 6, 1974?
SELECT result FROM table_14954150_1 WHERE date = "October 6, 1974"
sql_create_context
CREATE TABLE table_62252 ( "Place" text, "Player" text, "Country" text, "Score" real, "To par" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is Tom Kite's Place?
SELECT "Place" FROM table_62252 WHERE "Player" = 'tom kite'
wikisql
CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what are the flights from ATLANTA to BALTIMORE
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
atis
CREATE TABLE table_39280 ( "Dance" text, "Best dancer(s)" text, "Best score" text, "Worst dancer(s)" text, "Worst score" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the best score of the dance freestyle?
SELECT "Best score" FROM table_39280 WHERE "Dance" = 'freestyle'
wikisql
CREATE TABLE table_name_96 ( official_itv1_rating VARCHAR, episode VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Official ITV1 rating for auditions 4?
SELECT official_itv1_rating FROM table_name_96 WHERE episode = "auditions 4"
sql_create_context
CREATE TABLE table_name_73 ( Id VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the 2004 value if the 1998 value is 35?
SELECT 2004 FROM table_name_73 WHERE 1998 = "35"
sql_create_context
CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) 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 ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) 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 ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) 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 ) 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 ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- count the number of patients who had undergone loc exc bone lesion nec two times until 2103.
SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'loc exc bone lesion nec') AND STRFTIME('%y', procedures_icd.charttime) <= '2103' GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 = 2
mimic_iii
CREATE TABLE table_59 ( "Crop (kilotonnes)" text, "New South Wales" real, "Victoria" real, "Queensland" real, "Western Australia" real, "South Australia" real, "Tasmania" real, "Total" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what's the minimum total with crop (kilotonnes) being s lupin
SELECT MIN("Total") FROM table_59 WHERE "Crop (kilotonnes)" = 's Lupin'
wikisql
CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) 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 ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- had patient 006-195316 visited the emergency room on their current hospital visit?
SELECT COUNT(*) > 0 FROM patient WHERE patient.uniquepid = '006-195316' AND patient.hospitaladmitsource = 'emergency department' AND patient.hospitaldischargetime IS NULL
eicu
CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- show me flights from PITTSBURGH to ATLANTA on monday afternoon
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((flight.departure_time BETWEEN 1200 AND 1800) AND date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' 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
atis
CREATE TABLE table_name_27 ( margin VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Margin, when Date is 19 July 2008 (Round 19)?
SELECT margin FROM table_name_27 WHERE date = "19 july 2008 (round 19)"
sql_create_context
CREATE TABLE table_14480 ( "Player" text, "Country" text, "Year(s) won" text, "Total" real, "To par" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What years won when the To par is more than 13?
SELECT "Year(s) won" FROM table_14480 WHERE "To par" > '13'
wikisql
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many patients less than age 89 years are widowed?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.age < "89"
mimicsql_data
CREATE TABLE table_203_121 ( id number, "name" text, "pos." text, "caps" number, "goals" number, "club" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many people have no goals ?
SELECT COUNT("name") FROM table_203_121 WHERE "goals" = 0
squall
CREATE TABLE t_kc21_t_kc24 ( MED_CLINIC_ID text, MED_SAFE_PAY_ID number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_CLINIC_ID text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc21 ( CLINIC_ID text, CLINIC_TYPE text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 编号是91530632的患者医疗费总额大于4446.07元的其医疗记录入院诊断疾病编码和名称,列出其都是什么?
SELECT t_kc21.IN_DIAG_DIS_CD, t_kc21.IN_DIAG_DIS_NM FROM t_kc21 WHERE t_kc21.PERSON_ID = '91530632' AND t_kc21.MED_CLINIC_ID IN (SELECT t_kc21_t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.MED_AMOUT > 4446.07)
css
CREATE TABLE table_8912 ( "Round" real, "Pick" real, "Overall" real, "Name" text, "Position" text, "College" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which College has a Round of 11, and a Position of wr?
SELECT "College" FROM table_8912 WHERE "Round" = '11' AND "Position" = 'wr'
wikisql
CREATE TABLE table_15693 ( "Date" text, "Score" text, "Location" text, "Competition" text, "Serial No." text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- The competition located in Northampton had a resulting score of what?
SELECT "Score" FROM table_15693 WHERE "Location" = 'northampton'
wikisql
CREATE TABLE table_name_96 ( tamil_name VARCHAR, english_name VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Tamil Name of the Thaipusam holiday?
SELECT tamil_name FROM table_name_96 WHERE english_name = "thaipusam"
sql_create_context
CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) 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 ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how much is hypertonic saline administration?
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'treatment' AND cost.eventid IN (SELECT treatment.treatmentid FROM treatment WHERE treatment.treatmentname = 'hypertonic saline administration')
eicu
CREATE TABLE table_1015521_2 ( us_air_force_equivalent VARCHAR, commonwealth_equivalent VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- If you are a pilot officer in the commonwealth then what will you called as in the US air force?
SELECT us_air_force_equivalent FROM table_1015521_2 WHERE commonwealth_equivalent = "Pilot Officer"
sql_create_context
CREATE TABLE table_name_17 ( gold INTEGER, silver VARCHAR, bronze VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the highest Gold that has a Silver less than 7 and Bronze less than 0
SELECT MAX(gold) FROM table_name_17 WHERE silver < 7 AND bronze < 0
sql_create_context
CREATE TABLE table_name_76 ( venue VARCHAR, home_team VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the venue when the home team was Fitzroy?
SELECT venue FROM table_name_76 WHERE home_team = "fitzroy"
sql_create_context
CREATE TABLE table_2923917_4 ( melbourne VARCHAR, distance VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many listings under Melbourne has a distance at 15km?
SELECT COUNT(melbourne) FROM table_2923917_4 WHERE distance = "15km"
sql_create_context
CREATE TABLE table_name_32 ( winning_song VARCHAR, debut_album VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which winning song had a debut album in progress?
SELECT winning_song FROM table_name_32 WHERE debut_album = "in progress"
sql_create_context
CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE patient ( uniquepid 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 ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- has patient 027-3046 received a vasodilator - minoxidil in other hospitals?
SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '027-3046' AND patient.hospitalid <> (SELECT DISTINCT patient.hospitalid FROM patient WHERE patient.uniquepid = '027-3046' AND patient.hospitaldischargetime IS NULL)) AND treatment.treatmentname = 'vasodilator - minoxidil'
eicu
CREATE TABLE table_43636 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Week number with a Result of W 30-28?
SELECT AVG("Week") FROM table_43636 WHERE "Result" = 'w 30-28'
wikisql
CREATE TABLE table_name_13 ( candidate VARCHAR, riding VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who is the Candidate when the Riding is Hochelaga?
SELECT candidate FROM table_name_13 WHERE riding = "hochelaga"
sql_create_context
CREATE TABLE table_26565936_2 ( no_in_series VARCHAR, written_by VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What number(s) in the series was written by bo crese?
SELECT no_in_series FROM table_26565936_2 WHERE written_by = "Bo Crese"
sql_create_context