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CREATE TABLE table_79518 ("Position" FLOAT, "Athlete" CLOB, "Compulsory" FLOAT, "Voluntary" FLOAT, "Total" FLOAT)
| What's the position that has a total less than 66.5m, a compulsory of 30.9 and voluntary less than 33.7? | SELECT MIN("Position") FROM table_79518 WHERE "Total" < '66.5' AND "Compulsory" = '30.9' AND "Voluntary" < '33.7' | SELECT MIN("Position") FROM "table_79518" WHERE "Compulsory" = '30.9' AND "Total" < '66.5' AND "Voluntary" < '33.7' | 0.112305 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| Git Top 100 By Vote. | SELECT Id, Title, Tags, ClosedDate, FavoriteCount, ViewCount, Score FROM Posts WHERE PostTypeId = 1 AND Tags LIKE '%git%' ORDER BY Score DESC, FavoriteCount DESC LIMIT 100 | SELECT "Id", "Title", "Tags", "ClosedDate", "FavoriteCount", "ViewCount", "Score" FROM "Posts" WHERE "PostTypeId" = 1 AND "Tags" LIKE '%git%' ORDER BY "Score" DESC, "FavoriteCount" DESC FETCH FIRST 100 ROWS ONLY | 0.206055 |
CREATE TABLE table_3150 ("Rank" FLOAT, "English title" CLOB, "Chinese title" CLOB, "Average" FLOAT, "Peak" FLOAT, "Premiere" FLOAT, "Finale" FLOAT, "HK viewers" CLOB)
| What is the English name of the episode with 1.92 million HK viewers? | SELECT "English title" FROM table_3150 WHERE "HK viewers" = '1.92 million' | SELECT "English title" FROM "table_3150" WHERE "HK viewers" = '1.92 million' | 0.074219 |
CREATE TABLE table_203_37 (id NUMBER, "#" NUMBER, "title" CLOB, "producer ( s ) " CLOB, "performer ( s ) " CLOB, "length" CLOB)
| how many songs from this album were produced by rick long ? | SELECT COUNT("title") FROM table_203_37 WHERE "producer(s)" = 'rick long' | SELECT COUNT("title") FROM "table_203_37" WHERE "producer(s)" = 'rick long' | 0.073242 |
CREATE TABLE table_992 ("Name" CLOB, "Population ( 2002 census ) " FLOAT, "Population ( 2007 estimation ) " FLOAT, "Population ( 2011 census ) " FLOAT, "Area ( km\\u00b2 ) " CLOB, "Density ( pop/km\\u00b2 ) " CLOB)
| How many places according to the 2011 census of whatever population have an area of 132.79 kilometers squared? | SELECT COUNT("Population (2011 census)") FROM table_992 WHERE "Area (km\u00b2)" = '132.79' | SELECT COUNT("Population (2011 census)") FROM "table_992" WHERE "Area (km\u00b2)" = '132.79' | 0.089844 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose insurance is medicare and lab test name is amylase, body fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Medicare" AND lab.label = "Amylase, Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Amylase, Body Fluid" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Medicare" = "demographic"."insurance" | 0.206055 |
CREATE TABLE table_1342331_18 (district VARCHAR2, incumbent VARCHAR2)
| What district has Riley Joseph Wilson as the incumbent? | SELECT district FROM table_1342331_18 WHERE incumbent = "Riley Joseph Wilson" | SELECT "district" FROM "table_1342331_18" WHERE "Riley Joseph Wilson" = "incumbent" | 0.081055 |
CREATE TABLE table_16796 ("Ward" CLOB, "Bello" CLOB, "Ben-Tahir" CLOB, "Doucet" CLOB, "Furtenbacher" CLOB, "Gauthier" CLOB, "Haydon" CLOB, "Larter" CLOB, "Lawrance" CLOB, "Libweshya" CLOB, "Liscumb" CLOB)
| What is Doucet when Lawrance is 36? | SELECT "Doucet" FROM table_16796 WHERE "Lawrance" = '36' | SELECT "Doucet" FROM "table_16796" WHERE "Lawrance" = '36' | 0.056641 |
CREATE TABLE table_25847 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the record for charlotte | SELECT "Record" FROM table_25847 WHERE "Team" = 'Charlotte' | SELECT "Record" FROM "table_25847" WHERE "Team" = 'Charlotte' | 0.05957 |
CREATE TABLE table_4324 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Notes" CLOB)
| Name the lowest year for 12th position | SELECT MIN("Year") FROM table_4324 WHERE "Position" = '12th' | SELECT MIN("Year") FROM "table_4324" WHERE "Position" = '12th' | 0.060547 |
CREATE TABLE table_40191 ("Club" CLOB, "City" CLOB, "Stadium" CLOB, "2009 season" CLOB, "Group" CLOB)
| WHich Club has a City of col n? | SELECT "Club" FROM table_40191 WHERE "City" = 'colón' | SELECT "Club" FROM "table_40191" WHERE "City" = 'colón' | 0.053711 |
CREATE TABLE table_30208 ("#" FLOAT, "Date" CLOB, "Opponent" CLOB, "Site/Stadium" CLOB, "Score" CLOB, "Win" CLOB, "Loss" CLOB, "Save" CLOB, "Attendance" FLOAT, "Overall Record" CLOB, "NCAAT Record" CLOB)
| Who had the save in the game in which Duke (3-2) took the loss? | SELECT "Save" FROM table_30208 WHERE "Loss" = 'Duke (3-2)' | SELECT "Save" FROM "table_30208" WHERE "Loss" = 'Duke (3-2)' | 0.058594 |
CREATE TABLE table_7856 ("Player" CLOB, "League" FLOAT, "Cups" FLOAT, "Other" FLOAT, "Total" FLOAT)
| What is the number of cups when the other was more than 3, the league more than 3, for Lauri Dalla Valle, and a Total more than 21? | SELECT AVG("Cups") FROM table_7856 WHERE "Other" > '3' AND "League" > '3' AND "Player" = 'lauri dalla valle' AND "Total" > '21' | SELECT AVG("Cups") FROM "table_7856" WHERE "League" > '3' AND "Other" > '3' AND "Player" = 'lauri dalla valle' AND "Total" > '21' | 0.125977 |
CREATE TABLE table_37095 ("Games" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points difference" CLOB, "Points" FLOAT)
| What is the fewest losses associated with more than 13 points and fewer than 8 games? | SELECT MIN("Lost") FROM table_37095 WHERE "Points" > '13' AND "Games" < '8' | SELECT MIN("Lost") FROM "table_37095" WHERE "Games" < '8' AND "Points" > '13' | 0.075195 |
CREATE TABLE team (Team_id NUMBER, Name CLOB)
CREATE TABLE player (Player_ID NUMBER, Player CLOB, Years_Played CLOB, Total_WL CLOB, Singles_WL CLOB, Doubles_WL CLOB, Team NUMBER)
CREATE TABLE match_season (Season FLOAT, Player CLOB, Position CLOB, Country NUMBER, Team NUMBER, Draft_Pick_Number NUMBER, Draft_Class CLOB, College CLOB)
CREATE TABLE country (Country_id NUMBER, Country_name CLOB, Capital CLOB, Official_native_language CLOB)
| Show the position of players and the corresponding number of players Visualize by bar chart, and could you show in ascending by the Y please? | SELECT Position, COUNT(*) FROM match_season GROUP BY Position ORDER BY COUNT(*) | SELECT "Position", COUNT(*) FROM "match_season" GROUP BY "Position" ORDER BY COUNT(*) | 0.083008 |
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
| Find all years that have a movie that received a rating of 4 or 5, and sort them in increasing order of year, and count them by a bar chart | SELECT year, COUNT(year) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID WHERE T2.stars >= 4 ORDER BY T1.year | SELECT "year", COUNT("year") FROM "Movie" "T1" JOIN "Rating" "T2" ON "T1"."mID" = "T2"."mID" AND "T2"."stars" >= 4 ORDER BY "T1"."year" | 0.131836 |
CREATE TABLE table_28194879_1 (_number VARCHAR2, production_code VARCHAR2)
| What is the number in season of the episode whose production code is pabf05? | SELECT _number FROM table_28194879_1 WHERE production_code = "PABF05" | SELECT "_number" FROM "table_28194879_1" WHERE "PABF05" = "production_code" | 0.073242 |
CREATE TABLE table_train_51 ("id" NUMBER, "active_infection" BOOLEAN, "procalcitonin" NUMBER, "oliguria" BOOLEAN, "receiving_vasopressor" BOOLEAN, "metabolic_acidosis" BOOLEAN, "colonized_with_a_multi_drug_resistant_organism" BOOLEAN, "hypoperfusion" BOOLEAN, "central_venous_oxygen_saturation_scvo2" NUMBER, "venous_to_arterial_co2_gap_dco2" NUMBER, "lactate" NUMBER, "NOUSE" FLOAT)
| patient colonized with a multi drug resistant organisms preventing de escalation antibiotic, | SELECT * FROM table_train_51 WHERE colonized_with_a_multi_drug_resistant_organism = 1 | SELECT * FROM "table_train_51" WHERE "colonized_with_a_multi_drug_resistant_organism" = 1 | 0.086914 |
CREATE TABLE assets (asset_id NUMBER, maintenance_contract_id NUMBER, supplier_company_id NUMBER, asset_details CLOB, asset_make CLOB, asset_model CLOB, asset_acquired_date TIME, asset_disposed_date TIME, other_asset_details CLOB)
CREATE TABLE fault_log (fault_log_entry_id NUMBER, asset_id NUMBER, recorded_by_staff_id NUMBER, fault_log_entry_datetime TIME, fault_description CLOB, other_fault_details CLOB)
CREATE TABLE maintenance_contracts (maintenance_contract_id NUMBER, maintenance_contract_company_id NUMBER, contract_start_date TIME, contract_end_date TIME, other_contract_details CLOB)
CREATE TABLE engineer_visits (engineer_visit_id NUMBER, contact_staff_id NUMBER, engineer_id NUMBER, fault_log_entry_id NUMBER, fault_status CLOB, visit_start_datetime TIME, visit_end_datetime TIME, other_visit_details CLOB)
CREATE TABLE fault_log_parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status CLOB)
CREATE TABLE parts (part_id NUMBER, part_name CLOB, chargeable_yn CLOB, chargeable_amount CLOB, other_part_details CLOB)
CREATE TABLE skills_required_to_fix (part_fault_id NUMBER, skill_id NUMBER)
CREATE TABLE staff (staff_id NUMBER, staff_name CLOB, gender CLOB, other_staff_details CLOB)
CREATE TABLE engineer_skills (engineer_id NUMBER, skill_id NUMBER)
CREATE TABLE third_party_companies (company_id NUMBER, company_type CLOB, company_name CLOB, company_address CLOB, other_company_details CLOB)
CREATE TABLE part_faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name CLOB, fault_description CLOB, other_fault_details CLOB)
CREATE TABLE skills (skill_id NUMBER, skill_code CLOB, skill_description CLOB)
CREATE TABLE maintenance_engineers (engineer_id NUMBER, company_id NUMBER, first_name CLOB, last_name CLOB, other_details CLOB)
CREATE TABLE asset_parts (asset_id NUMBER, part_id NUMBER)
| For all the faults of different parts, what are all the decriptions of the skills required to fix them? List the name of the faults and the skill description. | SELECT T1.fault_short_name, T3.skill_description FROM part_faults AS T1 JOIN skills_required_to_fix AS T2 ON T1.part_fault_id = T2.part_fault_id JOIN skills AS T3 ON T2.skill_id = T3.skill_id | SELECT "T1"."fault_short_name", "T3"."skill_description" FROM "part_faults" "T1" JOIN "skills_required_to_fix" "T2" ON "T1"."part_fault_id" = "T2"."part_fault_id" JOIN "skills" "T3" ON "T2"."skill_id" = "T3"."skill_id" | 0.212891 |
CREATE TABLE table_train_243 ("id" NUMBER, "c_peptide_level" FLOAT, "finger_stick_measurements" BOOLEAN, "diabetic" CLOB, "fasting_blood_glucose_fbg" FLOAT, "hypoglycemia" BOOLEAN, "insulin_requirement" FLOAT, "triglyceride_tg" FLOAT, "a1c" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| triglycerides < 150 mg / dl ( except for aim 4 ) . | SELECT * FROM table_train_243 WHERE triglyceride_tg < 150 | SELECT * FROM "table_train_243" WHERE "triglyceride_tg" < 150 | 0.05957 |
CREATE TABLE table_76232 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the name of the golfer that has the score of 73-65=138? | SELECT "Player" FROM table_76232 WHERE "Score" = '73-65=138' | SELECT "Player" FROM "table_76232" WHERE "Score" = '73-65=138' | 0.060547 |
CREATE TABLE table_57870 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What Away team scored 14.17 (101) and had a crowd attendance larger than 14,000? | SELECT "Away team" FROM table_57870 WHERE "Crowd" > '14,000' AND "Home team score" = '14.17 (101)' | SELECT "Away team" FROM "table_57870" WHERE "Crowd" > '14,000' AND "Home team score" = '14.17 (101)' | 0.097656 |
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Which classes are the MDE ones ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program, program_course WHERE program_course.category LIKE '%MDE%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.program_id = program_course.program_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' JOIN "program" ON "program"."name" LIKE '%CS-LSA%' AND "program"."program_id" = "program_course"."program_id" | 0.311523 |
CREATE TABLE table_34898 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB)
| What is the first elected date for the incumbent in the South Carolina 4 district? | SELECT "First elected" FROM table_34898 WHERE "District" = 'south carolina 4' | SELECT "First elected" FROM "table_34898" WHERE "District" = 'south carolina 4' | 0.077148 |
CREATE TABLE table_10023387_1 (years_played VARCHAR2, player VARCHAR2)
| what years are played for player im chung-yang | SELECT years_played FROM table_10023387_1 WHERE player = "Im Chung-Yang" | SELECT "years_played" FROM "table_10023387_1" WHERE "Im Chung-Yang" = "player" | 0.076172 |
CREATE TABLE table_11791 ("Name" CLOB, "Appointed/Elected" CLOB, "Term expires" CLOB, "Appointing Governor" CLOB, "Governor's Party Affiliation" CLOB)
| What is the party affiliation of Thomas D. Waterman, whose appointing governor is Terry Branstad? | SELECT "Governor's Party Affiliation" FROM table_11791 WHERE "Appointing Governor" = 'terry branstad' AND "Name" = 'thomas d. waterman' | SELECT "Governor's Party Affiliation" FROM "table_11791" WHERE "Appointing Governor" = 'terry branstad' AND "Name" = 'thomas d. waterman' | 0.133789 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| i would like to know when it was the last time patient 2874's temperature c (calc) was measured/taken. | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 2874)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'temperature c (calc)' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 2874 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'temperature c (calc)' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.733398 |
CREATE TABLE table_name_20 (opponent VARCHAR2, record VARCHAR2)
| Name the opponent with record of 12-18 | SELECT opponent FROM table_name_20 WHERE record = "12-18" | SELECT "opponent" FROM "table_name_20" WHERE "12-18" = "record" | 0.061523 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For all employees who have the letters D or S in their first name, find job_id and the average of salary , and group by attribute job_id, and visualize them by a bar chart, and order Y from low to high order. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(SALARY) | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY AVG("SALARY") | 0.141602 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| has patient 027-8953 been treated with a antihyperlipidemic agent - gemfibrozil procedure in other hospitals since 4 years ago? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '027-8953' AND patient.hospitalid <> (SELECT DISTINCT patient.hospitalid FROM patient WHERE patient.uniquepid = '027-8953' AND patient.hospitaldischargetime IS NULL)) AND treatment.treatmentname = 'antihyperlipidemic agent - gemfibrozil' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-4 year') | WITH "_u_0" AS (SELECT DISTINCT "patient"."hospitalid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '027-8953'), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" JOIN "_u_0" "_u_0" ON "_u_0"."hospitalid" <> "patient"."hospitalid" WHERE "patient"."uniquepid" = '027-8953' GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'antihyperlipidemic agent - gemfibrozil' AND DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL | 0.636719 |
CREATE TABLE table_name_43 (player VARCHAR2, money___$__ NUMBER)
| Which player won less than $335? | SELECT player FROM table_name_43 WHERE money___$__ < 335 | SELECT "player" FROM "table_name_43" WHERE "money___$__" < 335 | 0.060547 |
CREATE TABLE table_62496 ("Geelong DFL" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| Which Geelong DFL has 8 losses and more than 4 wins? | SELECT "Geelong DFL" FROM table_62496 WHERE "Wins" > '4' AND "Losses" = '8' | SELECT "Geelong DFL" FROM "table_62496" WHERE "Losses" = '8' AND "Wins" > '4' | 0.075195 |
CREATE TABLE table_name_55 (date VARCHAR2, week VARCHAR2)
| What day did the team play on week 8? | SELECT date FROM table_name_55 WHERE week = 8 | SELECT "date" FROM "table_name_55" WHERE "week" = 8 | 0.049805 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| count the number of patients whose drug name is gentamicin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Gentamicin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Gentamicin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.181641 |
CREATE TABLE table_10104 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the score for the away team at Essendon? | SELECT "Away team score" FROM table_10104 WHERE "Away team" = 'essendon' | SELECT "Away team score" FROM "table_10104" WHERE "Away team" = 'essendon' | 0.072266 |
CREATE TABLE table_name_25 (home_team VARCHAR2, away_team VARCHAR2, tie_no VARCHAR2, date VARCHAR2)
| Which Home team has a Tie no of replay, a Date of 19 november 1985, and an Away team of tranmere rovers? | SELECT home_team FROM table_name_25 WHERE tie_no = "replay" AND date = "19 november 1985" AND away_team = "tranmere rovers" | SELECT "home_team" FROM "table_name_25" WHERE "19 november 1985" = "date" AND "away_team" = "tranmere rovers" AND "replay" = "tie_no" | 0.129883 |
CREATE TABLE table_name_34 (team_record VARCHAR2, attendance VARCHAR2)
| What is Team Record, when Attendance is 16,151? | SELECT team_record FROM table_name_34 WHERE attendance = "16,151" | SELECT "team_record" FROM "table_name_34" WHERE "16,151" = "attendance" | 0.069336 |
CREATE TABLE table_203_789 (id NUMBER, "season" CLOB, "team" CLOB, "country" CLOB, "division" NUMBER, "apps" NUMBER, "goals" NUMBER, "assists" NUMBER)
| what team is in division 2 ? | SELECT "team" FROM table_203_789 WHERE "division" = 2 | SELECT "team" FROM "table_203_789" WHERE "division" = 2 | 0.053711 |
CREATE TABLE table_45274 ("Year" FLOAT, "Tournaments played" FLOAT, "Cuts made" FLOAT, "Wins" FLOAT, "Best finish" CLOB, "Earnings ( $ ) " FLOAT, "Money list rank" CLOB)
| what is the average tournaments played when cuts made is 14? | SELECT AVG("Tournaments played") FROM table_45274 WHERE "Cuts made" = '14' | SELECT AVG("Tournaments played") FROM "table_45274" WHERE "Cuts made" = '14' | 0.074219 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is days of hospital stay of subject id 17519? | SELECT demographic.days_stay FROM demographic WHERE demographic.subject_id = "17519" | SELECT "demographic"."days_stay" FROM "demographic" WHERE "17519" = "demographic"."subject_id" | 0.091797 |
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
| Bar chart of the total number from each class room | SELECT CLASS_ROOM, COUNT(*) FROM CLASS GROUP BY CLASS_ROOM | SELECT "CLASS_ROOM", COUNT(*) FROM "CLASS" GROUP BY "CLASS_ROOM" | 0.0625 |
CREATE TABLE table_train_172 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "c_peptide_level" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "peak_stimulated_c_peptide" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "mixed_meal_tolerance_test_mmtt" BOOLEAN, "vitamin_d" NUMBER, "NOUSE" FLOAT)
| vitamin d level as measured by 25 _ hydroxyvitamin d ( 25 _ oh d ) < 32 ng / ml | SELECT * FROM table_train_172 WHERE vitamin_d < 32 | SELECT * FROM "table_train_172" WHERE "vitamin_d" < 32 | 0.052734 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| give the number of patients of white ethnicity under diagnoses icd9 code 56721. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.icd9_code = "56721" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "56721" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.210938 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| give me the number of patients whose admission year is less than 2175 and procedure long title is other closed [endoscopic] biopsy of biliary duct or sphincter of oddi? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2175" AND procedures.long_title = "Other closed [endoscopic] biopsy of biliary duct or sphincter of Oddi" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Other closed [endoscopic] biopsy of biliary duct or sphincter of Oddi" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2175" > "demographic"."admityear" | 0.276367 |
CREATE TABLE table_71612 ("Date" CLOB, "Company" CLOB, "Business" CLOB, "Country" CLOB, "Value ( USD ) " CLOB)
| What company has an unknown date and is an energy business? | SELECT "Company" FROM table_71612 WHERE "Business" = 'energy' AND "Date" = 'unknown' | SELECT "Company" FROM "table_71612" WHERE "Business" = 'energy' AND "Date" = 'unknown' | 0.083984 |
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
| For those payments processed with Visa, bin the payment day into Year interval and compute the total amount payment as the Y-axis, could you rank by the Y in ascending please? | SELECT Date_Payment_Made, SUM(Amount_Payment) FROM Payments WHERE Payment_Method_Code = 'Visa' ORDER BY SUM(Amount_Payment) | SELECT "Date_Payment_Made", SUM("Amount_Payment") FROM "Payments" WHERE "Payment_Method_Code" = 'Visa' ORDER BY SUM("Amount_Payment") | 0.129883 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| Give me the number of living patients who have atrial septal defect mitral valve replacement repair atrial-septal defect/sda as their primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.diagnosis = "ATRIAL SEPTAL DEFECT\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "0" = "demographic"."expire_flag" AND "ATRIAL SEPTAL DEFECT\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA" = "demographic"."diagnosis" | 0.214844 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose religion is episcopalian? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "EPISCOPALIAN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "EPISCOPALIAN" = "demographic"."religion" | 0.113281 |
CREATE TABLE table_name_83 (home VARCHAR2, score VARCHAR2)
| Who was at Home when the Score was 13-19? | SELECT home FROM table_name_83 WHERE score = "13-19" | SELECT "home" FROM "table_name_83" WHERE "13-19" = "score" | 0.056641 |
CREATE TABLE table_28786 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Patient Portrayer" CLOB, "Original air date" CLOB, "Production code" CLOB)
| Who is the patient portrayer of the episode with the production code 3T5004? | SELECT "Patient Portrayer" FROM table_28786 WHERE "Production code" = '3T5004' | SELECT "Patient Portrayer" FROM "table_28786" WHERE "Production code" = '3T5004' | 0.078125 |
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, account_name CLOB, other_account_details CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE customers_cards (card_id NUMBER, customer_id NUMBER, card_type_code CLOB, card_number CLOB, date_valid_from TIME, date_valid_to TIME, other_card_details CLOB)
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_last_name CLOB, customer_address CLOB, customer_phone CLOB, customer_email CLOB, other_customer_details CLOB)
| What is the customer id of the customer with the most accounts, and how many accounts does this person have? | SELECT customer_id, COUNT(*) FROM accounts GROUP BY customer_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "customer_id", COUNT(*) FROM "accounts" GROUP BY "customer_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.113281 |
CREATE TABLE table_name_37 (event VARCHAR2, position VARCHAR2, year VARCHAR2)
| What event did she finish 3rd in 2010? | SELECT event FROM table_name_37 WHERE position = "3rd" AND year = 2010 | SELECT "event" FROM "table_name_37" WHERE "3rd" = "position" AND "year" = 2010 | 0.076172 |
CREATE TABLE table_name_39 (grid VARCHAR2, time_retired VARCHAR2, laps VARCHAR2)
| How many grids have a time of +1:21.239 and more than 25 laps? | SELECT COUNT(grid) FROM table_name_39 WHERE time_retired = "+1:21.239" AND laps > 25 | SELECT COUNT("grid") FROM "table_name_39" WHERE "+1:21.239" = "time_retired" AND "laps" > 25 | 0.089844 |
CREATE TABLE affected_region (region_id NUMBER, storm_id NUMBER, number_city_affected NUMBER)
CREATE TABLE region (region_id NUMBER, region_code CLOB, region_name CLOB)
CREATE TABLE storm (storm_id NUMBER, name CLOB, dates_active CLOB, max_speed NUMBER, damage_millions_usd NUMBER, number_deaths NUMBER)
| What are the names, dates active, and number of deaths for storms that had 1 or more death? | SELECT name, dates_active, number_deaths FROM storm WHERE number_deaths >= 1 | SELECT "name", "dates_active", "number_deaths" FROM "storm" WHERE "number_deaths" >= 1 | 0.083984 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide the number of patients whose year of birth is less than 2101 and procedure short title is oth uni salpingo-oophor? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2101" AND procedures.short_title = "Oth uni salpingo-oophor" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Oth uni salpingo-oophor" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2101" > "demographic"."dob_year" | 0.231445 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is admission time and diagnoses short title of subject name josette orr? | SELECT demographic.admittime, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Josette Orr" | SELECT "demographic"."admittime", "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Josette Orr" = "demographic"."name" | 0.18457 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
| i'd like a return flight from BALTIMORE to BOSTON | 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 = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.483398 |
CREATE TABLE table_63654 ("Round" CLOB, "Clubs remaining" FLOAT, "Clubs involved" FLOAT, "Winners from previous round" CLOB, "New entries this round" CLOB, "Leagues entering at this round" CLOB)
| Which round has 4 clubs involved? | SELECT "Round" FROM table_63654 WHERE "Clubs involved" = '4' | SELECT "Round" FROM "table_63654" WHERE "Clubs involved" = '4' | 0.060547 |
CREATE TABLE table_name_49 (score VARCHAR2, game VARCHAR2)
| what is the score for game 4? | SELECT score FROM table_name_49 WHERE game = 4 | SELECT "score" FROM "table_name_49" WHERE "game" = 4 | 0.050781 |
CREATE TABLE table_204_195 (id NUMBER, "team" CLOB, "home city" CLOB, "stadium" CLOB, "capacity" NUMBER, "last season" CLOB)
| what team other than maccabi tel aviv placed 1st last season ? | SELECT "team" FROM table_204_195 WHERE "team" <> 'maccabi tel aviv' AND "last season" = 1 | SELECT "team" FROM "table_204_195" WHERE "last season" = 1 AND "team" <> 'maccabi tel aviv' | 0.088867 |
CREATE TABLE table_64650 ("Year" FLOAT, "Title" CLOB, "From album" CLOB, "Label" CLOB, "Label-Nr" CLOB)
| Which Title has an album of tough talk, and a Label-Nr of x-371? | SELECT "Title" FROM table_64650 WHERE "From album" = 'tough talk' AND "Label-Nr" = 'x-371' | SELECT "Title" FROM "table_64650" WHERE "From album" = 'tough talk' AND "Label-Nr" = 'x-371' | 0.089844 |
CREATE TABLE table_name_57 (family VARCHAR2, name VARCHAR2)
| What family has the name of eastern cottontail? | SELECT family FROM table_name_57 WHERE name = "eastern cottontail" | SELECT "family" FROM "table_name_57" WHERE "eastern cottontail" = "name" | 0.070313 |
CREATE TABLE document_drafts (document_id NUMBER, draft_number NUMBER, draft_details CLOB)
CREATE TABLE circulation_history (document_id NUMBER, draft_number NUMBER, copy_number NUMBER, employee_id NUMBER)
CREATE TABLE ref_document_status (document_status_code CLOB, document_status_description CLOB)
CREATE TABLE documents_mailed (document_id NUMBER, mailed_to_address_id NUMBER, mailing_date TIME)
CREATE TABLE draft_copies (document_id NUMBER, draft_number NUMBER, copy_number NUMBER)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_description CLOB)
CREATE TABLE addresses (address_id NUMBER, address_details CLOB)
CREATE TABLE documents (document_id NUMBER, document_status_code CLOB, document_type_code CLOB, shipping_agent_code CLOB, receipt_date TIME, receipt_number CLOB, other_details CLOB)
CREATE TABLE roles (role_code CLOB, role_description CLOB)
CREATE TABLE employees (employee_id NUMBER, role_code CLOB, employee_name CLOB, other_details CLOB)
CREATE TABLE ref_shipping_agents (shipping_agent_code CLOB, shipping_agent_name CLOB, shipping_agent_description CLOB)
| List the document type code for the document with the id 2. | SELECT document_type_code FROM documents WHERE document_id = 2 | SELECT "document_type_code" FROM "documents" WHERE "document_id" = 2 | 0.066406 |
CREATE TABLE table_203_835 (id NUMBER, "season" CLOB, "club" CLOB, "country" CLOB, "competition" CLOB, "apps." NUMBER, "goals" NUMBER)
| which competition occurred the most ? | SELECT "competition" FROM table_203_835 GROUP BY "competition" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "competition" FROM "table_203_835" GROUP BY "competition" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.108398 |
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
| how many rooms have king beds? Report the number for each decor type, and sort from low to high by the decor. | SELECT decor, COUNT(*) FROM Rooms WHERE bedType = "King" GROUP BY decor ORDER BY decor | SELECT "decor", COUNT(*) FROM "Rooms" WHERE "King" = "bedType" GROUP BY "decor" ORDER BY "decor" | 0.09375 |
CREATE TABLE club (Club_ID NUMBER, Club_name CLOB, Region CLOB, Start_year NUMBER)
CREATE TABLE match_result (Rank NUMBER, Club_ID NUMBER, Gold NUMBER, Big_Silver NUMBER, Small_Silver NUMBER, Bronze NUMBER, Points NUMBER)
CREATE TABLE player (Player_ID NUMBER, Sponsor_name CLOB, Player_name CLOB, Gender CLOB, Residence CLOB, Occupation CLOB, Votes NUMBER, Rank CLOB)
CREATE TABLE coach (Coach_ID NUMBER, Coach_name CLOB, Gender CLOB, Club_ID NUMBER, Rank NUMBER)
CREATE TABLE player_coach (Player_ID NUMBER, Coach_ID NUMBER, Starting_year NUMBER)
| Bar chart x axis occupation y axis the total number, and I want to rank in desc by the x axis. | SELECT Occupation, COUNT(*) FROM player GROUP BY Occupation ORDER BY Occupation DESC | SELECT "Occupation", COUNT(*) FROM "player" GROUP BY "Occupation" ORDER BY "Occupation" DESC | 0.089844 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
| TOP 1000 users by up votes vs vote delta. | SELECT DisplayName, UpVotes, UpVotes - DownVotes AS delta FROM Users WHERE Id != -1 ORDER BY UpVotes DESC LIMIT 1000 | SELECT "DisplayName", "UpVotes", "UpVotes" - "DownVotes" AS "delta" FROM "Users" WHERE "Id" <> -1 ORDER BY "UpVotes" DESC FETCH FIRST 1000 ROWS ONLY | 0.144531 |
CREATE TABLE gymnast (Total_Points VARCHAR2, Gymnast_ID VARCHAR2)
CREATE TABLE people (People_ID VARCHAR2, Age VARCHAR2)
| What is the total point count of the youngest gymnast? | SELECT T1.Total_Points FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T2.Age LIMIT 1 | SELECT "T1"."Total_Points" FROM "gymnast" "T1" JOIN "people" "T2" ON "T1"."Gymnast_ID" = "T2"."People_ID" ORDER BY "T2"."Age" FETCH FIRST 1 ROWS ONLY | 0.145508 |
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
| Show me a bar chart about the number of areas for all appellations. | SELECT Area, COUNT(Area) FROM appellations GROUP BY Area | SELECT "Area", COUNT("Area") FROM "appellations" GROUP BY "Area" | 0.0625 |
CREATE TABLE table_name_17 (high_rebounds VARCHAR2, location_attendance VARCHAR2)
| Who had the high rebounds in Philips Arena 12,088? | SELECT high_rebounds FROM table_name_17 WHERE location_attendance = "philips arena 12,088" | SELECT "high_rebounds" FROM "table_name_17" WHERE "location_attendance" = "philips arena 12,088" | 0.09375 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| tell me the difference between the input amount and the output amount of patient 5520? | SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5520))) - (SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5520))) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5520 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_4" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "icustays"."hadm_id" WHERE NOT "_u_3"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE NOT "_u_1"."" IS NULL) - (SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "outputevents"."icustay_id" WHERE NOT "_u_4"."" IS NULL) | 0.763672 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| does patient 20207's temperature c (calc) have been normal on the first intensive care unit visit? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20207) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'temperature c (calc)' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN temperature_lower AND temperature_upper | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20207 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'temperature c (calc)' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" <= "temperature_upper" AND "chartevents"."valuenum" >= "temperature_lower" AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.848633 |
CREATE TABLE table_52556 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the away team's score at the game played at Lake Oval that had a crowd of over 15,000? | SELECT "Away team score" FROM table_52556 WHERE "Crowd" > '15,000' AND "Venue" = 'lake oval' | SELECT "Away team score" FROM "table_52556" WHERE "Crowd" > '15,000' AND "Venue" = 'lake oval' | 0.091797 |
CREATE TABLE table_64719 ("Japanese Title" CLOB, "Romaji Title" CLOB, "TV Station" CLOB, "Episodes" FLOAT, "Average Ratings" CLOB)
| How many Episodes have a Romaji Title of dragon zakura? | SELECT COUNT("Episodes") FROM table_64719 WHERE "Romaji Title" = 'dragon zakura' | SELECT COUNT("Episodes") FROM "table_64719" WHERE "Romaji Title" = 'dragon zakura' | 0.080078 |
CREATE TABLE table_15596 ("1910s" FLOAT, "1920s" FLOAT, "1930s" FLOAT, "1940s" FLOAT, "1950s" FLOAT, "1960s" FLOAT, "1970s" FLOAT, "1980s" FLOAT, "1990s" FLOAT, "2000s" FLOAT)
| What would be the correct year in the 1940s, if the 1980s is before 1986, the 1990s is before 1995, the 1970s is before 1973, and the 2000s are after 2001? | SELECT "1940s" FROM table_15596 WHERE "1980s" < '1986' AND "1990s" < '1995' AND "1970s" < '1973' AND "2000s" > '2001' | SELECT "1940s" FROM "table_15596" WHERE "1970s" < '1973' AND "1980s" < '1986' AND "1990s" < '1995' AND "2000s" > '2001' | 0.116211 |
CREATE TABLE table_2679061_1 (player VARCHAR2, position VARCHAR2, college_junior_club_team VARCHAR2)
| who is the player for the position defence and the college/junior/club team is ottawa 67's (ohl)? | SELECT player FROM table_2679061_1 WHERE position = "Defence" AND college_junior_club_team = "Ottawa 67's (OHL)" | SELECT "player" FROM "table_2679061_1" WHERE "Defence" = "position" AND "Ottawa 67's (OHL)" = "college_junior_club_team" | 0.117188 |
CREATE TABLE table_name_83 (championship_titles VARCHAR2, fastest_laps VARCHAR2, podiums VARCHAR2)
| How many titles for the nation with less than 3 fastest laps and 22 podiums? | SELECT championship_titles FROM table_name_83 WHERE fastest_laps < 3 AND podiums = 22 | SELECT "championship_titles" FROM "table_name_83" WHERE "fastest_laps" < 3 AND "podiums" = 22 | 0.09082 |
CREATE TABLE table_204_788 (id NUMBER, "pos" CLOB, "no" NUMBER, "driver" CLOB, "constructor" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| what is the total of points in all ? | SELECT SUM("points") FROM table_204_788 | SELECT SUM("points") FROM "table_204_788" | 0.040039 |
CREATE TABLE table_38568 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| Which Class has a Frequency MHz larger than 91.5, and a City of license of hyannis, nebraska? | SELECT "Class" FROM table_38568 WHERE "Frequency MHz" > '91.5' AND "City of license" = 'hyannis, nebraska' | SELECT "Class" FROM "table_38568" WHERE "City of license" = 'hyannis, nebraska' AND "Frequency MHz" > '91.5' | 0.105469 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
| hi i need to go from NEWARK to NASHVILLE on AA leaving around 630pm | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (((flight.departure_time <= 1900 AND flight.departure_time >= 1800) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'NASHVILLE' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEWARK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'NEWARK' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'AA' AND "flight"."departure_time" <= 1900 AND "flight"."departure_time" >= 1800 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'NASHVILLE' | 0.591797 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| What are 12 -credit Anthropology of Contemporary American Culture courses ? | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Anthropology of Contemporary American Culture%' OR name LIKE '%Anthropology of Contemporary American Culture%') AND credits = 12 | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "credits" = 12 AND ("description" LIKE '%Anthropology of Contemporary American Culture%' OR "name" LIKE '%Anthropology of Contemporary American Culture%') | 0.21582 |
CREATE TABLE table_67547 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Which score has a Date of august 17? | SELECT "Score" FROM table_67547 WHERE "Date" = 'august 17' | SELECT "Score" FROM "table_67547" WHERE "Date" = 'august 17' | 0.058594 |
CREATE TABLE table_29089 ("Round #" CLOB, "Home Team" CLOB, "Win/Loss" CLOB, "Score" CLOB, "Opposition" CLOB, "Location" CLOB)
| What was the location when the opposition was East Coast? | SELECT "Location" FROM table_29089 WHERE "Opposition" = 'East Coast' | SELECT "Location" FROM "table_29089" WHERE "Opposition" = 'East Coast' | 0.068359 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
| show me flights from PHILADELPHIA to SAN FRANCISCO on WEDNESDAY | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND days.day_name = 'WEDNESDAY' AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "days" ON "days"."day_name" = 'WEDNESDAY' AND "days"."days_code" = "flight"."flight_days" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.585938 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose diagnoses code is 4142 and drug type is main. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "4142" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "4142" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.283203 |
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
| Show all payment method codes and the number of orders for each code Show bar chart, and show from low to high by the Y-axis. | SELECT payment_method_code, COUNT(*) FROM Invoices GROUP BY payment_method_code ORDER BY COUNT(*) | SELECT "payment_method_code", COUNT(*) FROM "Invoices" GROUP BY "payment_method_code" ORDER BY COUNT(*) | 0.100586 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| What is the number of patients under the age of 47 who have acidosis as their primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ACIDOSIS" AND demographic.age < "47" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "47" > "demographic"."age" AND "ACIDOSIS" = "demographic"."diagnosis" | 0.140625 |
CREATE TABLE table_24390 ("City & Nation" CLOB, "First Place" FLOAT, "Second Place" FLOAT, "Third Place" FLOAT, "Total Top 3 Placements" FLOAT, "First Place Winning Year ( s ) ( if applicable ) " CLOB)
| What is the total number of second place finishes when the city & nation was Chicago, USA? | SELECT COUNT("Second Place") FROM table_24390 WHERE "City & Nation" = 'Chicago, USA' | SELECT COUNT("Second Place") FROM "table_24390" WHERE "City & Nation" = 'Chicago, USA' | 0.083984 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many dead patients had prescription for prapafenone hcl? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.drug = "Propafenone HCl" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Propafenone HCl" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "1" = "demographic"."expire_flag" | 0.225586 |
CREATE TABLE table_36285 ("Name" CLOB, "Championship" FLOAT, "FA Cup" FLOAT, "League Cup" FLOAT, "Total" FLOAT)
| League Cup smaller than 0 is what sum of the total? | SELECT SUM("Total") FROM table_36285 WHERE "League Cup" < '0' | SELECT SUM("Total") FROM "table_36285" WHERE "League Cup" < '0' | 0.061523 |
CREATE TABLE table_21170 ("Date of Sterilization" CLOB, "Age 10-19" FLOAT, "Age 20-29" FLOAT, "Age 30-39" FLOAT, "Age 40-49" FLOAT, "Age 50-59" FLOAT, "Age Unknown" FLOAT, "Total" FLOAT)
| Name the age 30-39 and age 10-19 380 | SELECT "Age 30-39" FROM table_21170 WHERE "Age 10-19" = '380' | SELECT "Age 30-39" FROM "table_21170" WHERE "Age 10-19" = '380' | 0.061523 |
CREATE TABLE table_12213 ("Name" CLOB, "GP-GS" CLOB, "Gain" FLOAT, "Loss" FLOAT, "Long" FLOAT, "Avg/G" FLOAT)
| What's the total long for more than 24 loss, a gain over 273, and an avg/g of 207.8? | SELECT SUM("Long") FROM table_12213 WHERE "Loss" > '24' AND "Gain" > '273' AND "Avg/G" = '207.8' | SELECT SUM("Long") FROM "table_12213" WHERE "Avg/G" = '207.8' AND "Gain" > '273' AND "Loss" > '24' | 0.095703 |
CREATE TABLE appointment (appointmentid NUMBER, patient NUMBER, prepnurse NUMBER, physician NUMBER, start TIME, end TIME, examinationroom CLOB)
CREATE TABLE physician (employeeid NUMBER, name CLOB, position CLOB, ssn NUMBER)
CREATE TABLE procedures (code NUMBER, name CLOB, cost NUMBER)
CREATE TABLE patient (ssn NUMBER, name CLOB, address CLOB, phone CLOB, insuranceid NUMBER, pcp NUMBER)
CREATE TABLE nurse (employeeid NUMBER, name CLOB, position CLOB, registered BOOLEAN, ssn NUMBER)
CREATE TABLE stay (stayid NUMBER, patient NUMBER, room NUMBER, staystart TIME, stayend TIME)
CREATE TABLE prescribes (physician NUMBER, patient NUMBER, medication NUMBER, date TIME, appointment NUMBER, dose CLOB)
CREATE TABLE on_call (nurse NUMBER, blockfloor NUMBER, blockcode NUMBER, oncallstart TIME, oncallend TIME)
CREATE TABLE undergoes (patient NUMBER, procedures NUMBER, stay NUMBER, dateundergoes TIME, physician NUMBER, assistingnurse NUMBER)
CREATE TABLE department (departmentid NUMBER, name CLOB, head NUMBER)
CREATE TABLE block (blockfloor NUMBER, blockcode NUMBER)
CREATE TABLE trained_in (physician NUMBER, treatment NUMBER, certificationdate TIME, certificationexpires TIME)
CREATE TABLE affiliated_with (physician NUMBER, department NUMBER, primaryaffiliation BOOLEAN)
CREATE TABLE medication (code NUMBER, name CLOB, brand CLOB, description CLOB)
CREATE TABLE room (roomnumber NUMBER, roomtype CLOB, blockfloor NUMBER, blockcode NUMBER, unavailable BOOLEAN)
| Find the physicians who are trained in a procedure that costs more than 5000. | SELECT T1.name FROM physician AS T1 JOIN trained_in AS T2 ON T1.employeeid = T2.physician JOIN procedures AS T3 ON T3.code = T2.treatment WHERE T3.cost > 5000 | SELECT "T1"."name" FROM "physician" "T1" JOIN "trained_in" "T2" ON "T1"."employeeid" = "T2"."physician" JOIN "procedures" "T3" ON "T2"."treatment" = "T3"."code" AND "T3"."cost" > 5000 | 0.178711 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is discharge location of subject id 29541? | SELECT demographic.discharge_location FROM demographic WHERE demographic.subject_id = "29541" | SELECT "demographic"."discharge_location" FROM "demographic" WHERE "29541" = "demographic"."subject_id" | 0.100586 |
CREATE TABLE table_40137 ("Office" CLOB, "Republican ticket" CLOB, "Democratic ticket" CLOB, "Socialist Labor ticket" CLOB, "Prohibition ticket" CLOB, "Independent Citizens' ticket" CLOB)
| What is the kind of Democratic ticket has a Office of comptroller? | SELECT "Democratic ticket" FROM table_40137 WHERE "Office" = 'comptroller' | SELECT "Democratic ticket" FROM "table_40137" WHERE "Office" = 'comptroller' | 0.074219 |
CREATE TABLE table_name_15 (class VARCHAR2, part_3 VARCHAR2)
| What is Class, when Part 2 is 'bl tu'? | SELECT class FROM table_name_15 WHERE part_3 = "blétu" | SELECT "class" FROM "table_name_15" WHERE "blétu" = "part_3" | 0.058594 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those products with a price between 60 and 120, visualize a bar chart about the distribution of name and manufacturer . | SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 | SELECT "Name", "Manufacturer" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 | 0.082031 |
CREATE TABLE table_10738 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Record" CLOB)
| What is the Visitor with a Leading scorer with rudy gay (24)? | SELECT "Visitor" FROM table_10738 WHERE "Leading scorer" = 'rudy gay (24)' | SELECT "Visitor" FROM "table_10738" WHERE "Leading scorer" = 'rudy gay (24)' | 0.074219 |
CREATE TABLE table_name_16 (overall_record VARCHAR2, team VARCHAR2)
| What is the overall record of the Ravens? | SELECT overall_record FROM table_name_16 WHERE team = "ravens" | SELECT "overall_record" FROM "table_name_16" WHERE "ravens" = "team" | 0.066406 |
CREATE TABLE table_11247 ("Year" CLOB, "Title" CLOB, "US 100" CLOB, "US AC" CLOB, "Lead singer" CLOB, "Album" CLOB, "Label and cat#" CLOB)
| What is the US AC of the label and cat# reprise 19466? | SELECT "US AC" FROM table_11247 WHERE "Label and cat#" = 'reprise 19466' | SELECT "US AC" FROM "table_11247" WHERE "Label and cat#" = 'reprise 19466' | 0.072266 |
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