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CREATE TABLE table_57465 ("Election" CLOB, "1st Member" CLOB, "1st Party" CLOB, "2nd Member" CLOB, "2nd Party" CLOB, "3rd Member" CLOB, "3rd Party" CLOB)
| Which Election had 2nd Member George Alexander Morrison, a 1st Party of Unionist, and 3rd Member of John Buchan? | SELECT "Election" FROM table_57465 WHERE "2nd Member" = 'george alexander morrison' AND "1st Party" = 'unionist' AND "3rd Member" = 'john buchan' | SELECT "Election" FROM "table_57465" WHERE "1st Party" = 'unionist' AND "2nd Member" = 'george alexander morrison' AND "3rd Member" = 'john buchan' | 0.143555 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| did patient 9299 receive the lingual thyroid excision procedure since 2103? | SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'lingual thyroid excision') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 9299) AND STRFTIME('%y', procedures_icd.charttime) >= '2103' | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 9299 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'lingual thyroid excision' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") >= '2103' | 0.460938 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id 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 gsi (course_offering_id NUMBER, student_id NUMBER)
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 program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location 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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| Which courses for Arrian satisfy the MDE specifications ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Arrian%' OR course.description LIKE '%Arrian%' OR course.name LIKE '%Arrian%') AND program_course.category LIKE '%MDE%' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Arrian%' OR "course"."description" LIKE '%Arrian%' OR "course"."name" LIKE '%Arrian%') AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' | 0.370117 |
CREATE TABLE table_dev_44 ("id" NUMBER, "gender" CLOB, "arterial_ph" FLOAT, "systolic_blood_pressure_sbp" NUMBER, "serum_bicarbonate" NUMBER, "anion_gap" NUMBER, "diabetic" CLOB, "diabetic_ketoacidosis" BOOLEAN, "blood_glucose" NUMBER, "diastolic_blood_pressure_dbp" NUMBER, "positive_serum_ketones" BOOLEAN, "serum_osmolarity" NUMBER, "serum_creatinine" FLOAT, "metformin" BOOLEAN, "hyperosmolar_hyperglycemic_state" BOOLEAN, "hypertension" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| diabetic ketoacidosis ( arterial ph < 7.24 , serum bicarbonate < 15 , positive serum ketones or anion gap > 12 ) | SELECT * FROM table_dev_44 WHERE diabetic_ketoacidosis = 1 OR (arterial_ph < 7.24 OR serum_bicarbonate < 15 OR positive_serum_ketones = 1 OR anion_gap > 12) | SELECT * FROM "table_dev_44" WHERE "anion_gap" > 12 OR "arterial_ph" < 7.24 OR "diabetic_ketoacidosis" = 1 OR "positive_serum_ketones" = 1 OR "serum_bicarbonate" < 15 | 0.162109 |
CREATE TABLE table_224840_4 (vacator VARCHAR2, date_successor_seated VARCHAR2)
| Who left office on November 26, 1800? | SELECT vacator FROM table_224840_4 WHERE date_successor_seated = "November 26, 1800" | SELECT "vacator" FROM "table_224840_4" WHERE "November 26, 1800" = "date_successor_seated" | 0.087891 |
CREATE TABLE table_22083044_2 (event VARCHAR2, fastest_lap VARCHAR2, pole_position VARCHAR2)
| How many times did Tim Macrow and Joey Foster both got the fastest lap and pole position respectively? | SELECT COUNT(event) FROM table_22083044_2 WHERE fastest_lap = "Tim Macrow" AND pole_position = "Joey Foster" | SELECT COUNT("event") FROM "table_22083044_2" WHERE "Joey Foster" = "pole_position" AND "Tim Macrow" = "fastest_lap" | 0.113281 |
CREATE TABLE table_name_46 (total NUMBER, bronze NUMBER)
| What is the average Total with a Bronze that is larger than 1? | SELECT AVG(total) FROM table_name_46 WHERE bronze > 1 | SELECT AVG("total") FROM "table_name_46" WHERE "bronze" > 1 | 0.057617 |
CREATE TABLE table_name_91 (against NUMBER, venue VARCHAR2)
| Name the Against which has a Venue of wembley stadium , london? | SELECT MAX(against) FROM table_name_91 WHERE venue = "wembley stadium , london" | SELECT MAX("against") FROM "table_name_91" WHERE "venue" = "wembley stadium , london" | 0.083008 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (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 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| how much does the weight of patient 12410 vary last measured on the first hospital visit compared to the first value measured on the first hospital visit? | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12410 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12410 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12410 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY) - (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY) | 1.282227 |
CREATE TABLE table_76741 ("Location" CLOB, "Country" CLOB, "Type" CLOB, "Wheels" FLOAT, "Configuration" CLOB)
| What location has surveying as the type? | SELECT "Location" FROM table_76741 WHERE "Type" = 'surveying' | SELECT "Location" FROM "table_76741" WHERE "Type" = 'surveying' | 0.061523 |
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)
| For each director, return the highest rating among all of movies and the value of that rating by a scatter chart. Ignore movies whose director is NULL. | SELECT stars, MAX(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE director <> "null" GROUP BY stars | SELECT "stars", MAX("T1"."stars") FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" WHERE "director" <> "null" GROUP BY "stars" | 0.137695 |
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 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)
| provide the number of patients whose procedure icd9 code is 3607? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "3607" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3607" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.171875 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location 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 (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 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 area (course_id NUMBER, area VARCHAR2)
| Have I taken any ULCS courses ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN student_record ON student_record.course_id = course.course_id INNER JOIN program_course ON student_record.course_id = program_course.course_id WHERE program_course.category LIKE '%ULCS%' AND student_record.student_id = 1 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "student_record" ON "course"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "program_course" ON "program_course"."category" LIKE '%ULCS%' AND "program_course"."course_id" = "student_record"."course_id" | 0.325195 |
CREATE TABLE table_78770 ("Year" FLOAT, "Competition" CLOB, "Awards" CLOB, "Category" CLOB, "Result" CLOB)
| What award was in the year after 2009 with a competition of Digi Wwwow Awards? | SELECT "Awards" FROM table_78770 WHERE "Year" > '2009' AND "Competition" = 'digi wwwow awards' | SELECT "Awards" FROM "table_78770" WHERE "Competition" = 'digi wwwow awards' AND "Year" > '2009' | 0.09375 |
CREATE TABLE table_67459 ("Rank" CLOB, "Building Name" CLOB, "Street address" CLOB, "Height feet ( meters ) " CLOB, "Floors" FLOAT, "Completed" FLOAT)
| When did the rank 9 building got completed? | SELECT "Completed" FROM table_67459 WHERE "Rank" = '9' | SELECT "Completed" FROM "table_67459" WHERE "Rank" = '9' | 0.054688 |
CREATE TABLE table_66861 ("Player" CLOB, "Years" CLOB, "Goals" FLOAT, "Assists" FLOAT, "Points" FLOAT)
| What is the largest number of goals with less than 101 assists and 172 points? | SELECT MAX("Goals") FROM table_66861 WHERE "Assists" < '101' AND "Points" < '172' | SELECT MAX("Goals") FROM "table_66861" WHERE "Assists" < '101' AND "Points" < '172' | 0.081055 |
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| Got most rep by negatively scored questions. | WITH Raw AS (SELECT Posts.Id AS PostId, MIN(Posts.OwnerUserId) AS UserId, SUM(34 - 12 * Votes.VoteTypeId) AS QRep FROM Posts, Votes WHERE Posts.Id = Votes.PostId AND Votes.VoteTypeId BETWEEN 2 AND 3 AND Posts.PostTypeId = 1 AND Posts.Score < 0 AND Posts.OwnerUserId > 0 GROUP BY Posts.Id) SELECT UserId AS "user_link", UserId, SUM(QRep) AS Rep FROM Raw WHERE QRep > 0 GROUP BY UserId ORDER BY Rep DESC, UserId LIMIT 100 | WITH "Raw" AS (SELECT MAX(1) AS "_" FROM "Posts" JOIN "Votes" ON "Posts"."Id" = "Votes"."PostId" AND "Votes"."VoteTypeId" <= 3 AND "Votes"."VoteTypeId" >= 2 WHERE "Posts"."OwnerUserId" > 0 AND "Posts"."PostTypeId" = 1 AND "Posts"."Score" < 0 GROUP BY "Posts"."Id") SELECT "UserId" AS "user_link", "UserId", SUM("QRep") AS "Rep" FROM "Raw" WHERE "QRep" > 0 GROUP BY "UserId" ORDER BY "Rep" DESC, "UserId" FETCH FIRST 100 ROWS ONLY | 0.418945 |
CREATE TABLE table_24807406_1 (assists VARCHAR2, minutes VARCHAR2)
| What is the assists total number if the minutes is 1? | SELECT COUNT(assists) FROM table_24807406_1 WHERE minutes = 1 | SELECT COUNT("assists") FROM "table_24807406_1" WHERE "minutes" = 1 | 0.06543 |
CREATE TABLE table_name_97 (date VARCHAR2, brazil_scorers VARCHAR2)
| On what Date was Palhinha Brazil Scorers? | SELECT date FROM table_name_97 WHERE brazil_scorers = "palhinha" | SELECT "date" FROM "table_name_97" WHERE "brazil_scorers" = "palhinha" | 0.068359 |
CREATE TABLE table_12303563_2 (winners VARCHAR2, nation VARCHAR2)
| how many winners from vietnam | SELECT winners FROM table_12303563_2 WHERE nation = "Vietnam" | SELECT "winners" FROM "table_12303563_2" WHERE "Vietnam" = "nation" | 0.06543 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| tell me the name of an allergy that patient 006-129568 had in 06/2101? | SELECT allergy.allergyname FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-129568')) AND STRFTIME('%y-%m', allergy.allergytime) = '2101-06' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-129568' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "allergy"."allergyname" FROM "allergy" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "allergy"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "allergy"."allergytime") = '2101-06' | 0.543945 |
CREATE TABLE table_204_474 (id NUMBER, "year" NUMBER, "host" CLOB, "champion" CLOB, "second place" CLOB, "third place" CLOB, "fourth place" CLOB)
| previous third place finisher before jt marvelous | SELECT "third place" FROM table_204_474 WHERE "year" < (SELECT "year" FROM table_204_474 WHERE "third place" = 'jt marvelous') ORDER BY "year" DESC LIMIT 1 | SELECT "third place" FROM "table_204_474" WHERE "year" < (SELECT "year" FROM "table_204_474" WHERE "third place" = 'jt marvelous') ORDER BY "year" DESC FETCH FIRST 1 ROWS ONLY | 0.170898 |
CREATE TABLE table_27855 ("Settlement" CLOB, "Cyrillic Name Other Names" CLOB, "Type" CLOB, "Population ( 2011 ) " FLOAT, "Largest ethnic group ( 2002 ) " CLOB, "Dominant religion ( 2002 ) " CLOB)
| When is cyrillic name other names and village is the type and orthodox Christianity is the dominant religion of 2002 what is the settlement? | SELECT "Settlement" FROM table_27855 WHERE "Dominant religion (2002)" = 'Orthodox Christianity' AND "Type" = 'village' AND "Cyrillic Name Other Names" = 'Ратково' | SELECT "Settlement" FROM "table_27855" WHERE "Cyrillic Name Other Names" = 'Ратково' AND "Dominant religion (2002)" = 'Orthodox Christianity' AND "Type" = 'village' | 0.160156 |
CREATE TABLE table_204_448 (id NUMBER, "team" CLOB, "winners" NUMBER, "runners-up" NUMBER, "years won" CLOB, "years runner-up" CLOB)
| what is the name of the last team on this chart ? | SELECT "team" FROM table_204_448 ORDER BY id DESC LIMIT 1 | SELECT "team" FROM "table_204_448" ORDER BY "id" DESC FETCH FIRST 1 ROWS ONLY | 0.075195 |
CREATE TABLE train_station (Train_ID NUMBER, Station_ID NUMBER)
CREATE TABLE train (Train_ID NUMBER, Name CLOB, Time CLOB, Service CLOB)
CREATE TABLE station (Station_ID NUMBER, Name CLOB, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location CLOB, Main_Services CLOB, Number_of_Platforms NUMBER)
| Visualize a bar chart, group by name and compute each group's total number, could you display Name in descending order please? | SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY Name DESC | SELECT "Name", COUNT("Name") FROM "train" GROUP BY "Name" ORDER BY "Name" DESC | 0.076172 |
CREATE TABLE table_68928 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| What is the average points of a Cosworth v8 engine in 1973. | SELECT AVG("Points") FROM table_68928 WHERE "Engine" = 'cosworth v8' AND "Year" = '1973' | SELECT AVG("Points") FROM "table_68928" WHERE "Engine" = 'cosworth v8' AND "Year" = '1973' | 0.087891 |
CREATE TABLE table_11497980_1 (gcm__kg__technical_capacity VARCHAR2, transmission_make_type_speed VARCHAR2)
| When the transmission make/type/speed is eaton fs 5306-a manual synchromesh 6 speed, what is the value of the gcm (kg) technical capacity? | SELECT gcm__kg__technical_capacity FROM table_11497980_1 WHERE transmission_make_type_speed = "Eaton FS 5306-A Manual Synchromesh 6 Speed" | SELECT "gcm__kg__technical_capacity" FROM "table_11497980_1" WHERE "Eaton FS 5306-A Manual Synchromesh 6 Speed" = "transmission_make_type_speed" | 0.140625 |
CREATE TABLE table_11677691_3 (player VARCHAR2, hometown VARCHAR2)
| What player's hometown is Roebuck, South Carolina? | SELECT player FROM table_11677691_3 WHERE hometown = "Roebuck, South Carolina" | SELECT "player" FROM "table_11677691_3" WHERE "Roebuck, South Carolina" = "hometown" | 0.082031 |
CREATE TABLE table_28219 ("Unit" CLOB, "Commander" CLOB, "Complement" CLOB, "Killed" CLOB, "Wounded" CLOB, "Missing" CLOB)
| What was the complement associated with 0 off 3 men killed and 0 off 2 men wounded? | SELECT "Complement" FROM table_28219 WHERE "Killed" = '0 off 3 men' AND "Wounded" = '0 off 2 men' | SELECT "Complement" FROM "table_28219" WHERE "Killed" = '0 off 3 men' AND "Wounded" = '0 off 2 men' | 0.09668 |
CREATE TABLE table_1425948_1 (number_in_fleet NUMBER, chassis_manufacturer VARCHAR2, fleet_numbers VARCHAR2)
| what is smallest number in fleet for chassis manufacturer Scania and fleet numbers is 3230? | SELECT MIN(number_in_fleet) FROM table_1425948_1 WHERE chassis_manufacturer = "Scania" AND fleet_numbers = "3230" | SELECT MIN("number_in_fleet") FROM "table_1425948_1" WHERE "3230" = "fleet_numbers" AND "Scania" = "chassis_manufacturer" | 0.118164 |
CREATE TABLE table_250 ("Comparisons" CLOB, "Hub Base Class" CLOB, "Emulated Class" CLOB, "Semi-DDM Class" CLOB, "DDM Class" CLOB)
| Is the drawing tablet support part of the DDM class? | SELECT "DDM Class" FROM table_250 WHERE "Comparisons" = 'Drawing Tablet Support' | SELECT "DDM Class" FROM "table_250" WHERE "Comparisons" = 'Drawing Tablet Support' | 0.080078 |
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)
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
| what are the numbers of wines for different grapes?, and I want to rank in descending by the the total number . | SELECT Grape, COUNT(*) FROM wine GROUP BY Grape ORDER BY COUNT(*) DESC | SELECT "Grape", COUNT(*) FROM "wine" GROUP BY "Grape" ORDER BY COUNT(*) DESC | 0.074219 |
CREATE TABLE table_58544 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| What series had a high points of Prince (23)? | SELECT "Series" FROM table_58544 WHERE "High points" = 'prince (23)' | SELECT "Series" FROM "table_58544" WHERE "High points" = 'prince (23)' | 0.068359 |
CREATE TABLE table_203_280 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "result" CLOB, "record" CLOB, "game site" CLOB, "tv time" CLOB, "attendance" NUMBER, "bye" CLOB)
| how many people attended the game held on november 10 , 1996 ? | SELECT "attendance" FROM table_203_280 WHERE "date" = 'november 10, 1996' | SELECT "attendance" FROM "table_203_280" WHERE "date" = 'november 10, 1996' | 0.073242 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (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 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Find newb questions with poorly written subject lines. | SELECT p.Id AS "post_link", CONCAT(p.AnswerCount, ' / ', p.CommentCount) AS "Ans/Cmnt", CAST(TIME_TO_STR(p.CreationDate, '%Y.%m.%d') AS TEXT(10)) AS "yyyy.mm.dd", u.Reputation AS "Rep" FROM Posts AS p, Users AS u WHERE p.OwnerUserId = u.Id AND p.ClosedDate IS NULL AND (p.Title LIKE '%problem%' OR p.Title LIKE '%not working%') AND u.Reputation < 100 AND p.AnswerCount < 3 ORDER BY p.CreationDate DESC LIMIT 150 | SELECT "p"."Id" AS "post_link", CONCAT("p"."AnswerCount", ' / ', "p"."CommentCount") AS "Ans/Cmnt", CAST(TO_CHAR("p"."CreationDate", 'YYYY.MM.DD') AS CLOB(10)) AS "yyyy.mm.dd", "u"."Reputation" AS "Rep" FROM "Posts" "p" JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" AND "u"."Reputation" < 100 WHERE "p"."AnswerCount" < 3 AND "p"."ClosedDate" IS NULL AND ("p"."Title" LIKE '%not working%' OR "p"."Title" LIKE '%problem%') ORDER BY "p"."CreationDate" DESC FETCH FIRST 150 ROWS ONLY | 0.470703 |
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 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 Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
| Return the number of the claim start date for the claims whose claimed amount is no more than the average, rank from high to low by the y axis. | SELECT Date_Claim_Made, COUNT(Date_Claim_Made) FROM Claims WHERE Amount_Settled <= (SELECT AVG(Amount_Settled) FROM Claims) ORDER BY COUNT(Date_Claim_Made) DESC | SELECT "Date_Claim_Made", COUNT("Date_Claim_Made") FROM "Claims" WHERE "Amount_Settled" <= (SELECT AVG("Amount_Settled") FROM "Claims") ORDER BY COUNT("Date_Claim_Made") DESC | 0.169922 |
CREATE TABLE table_54950 ("Class" CLOB, "Wheel arrangement" CLOB, "Fleet number ( s ) " CLOB, "Manufacturer" CLOB, "Year made" CLOB, "Quantity made" CLOB, "Quantity preserved" CLOB, "Year ( s ) withdrawn" CLOB)
| What is the class of the locomotive with a wheel arrangement of 4-6-0 and a quantity made of 14? | SELECT "Class" FROM table_54950 WHERE "Wheel arrangement" = '4-6-0' AND "Quantity made" = '14' | SELECT "Class" FROM "table_54950" WHERE "Quantity made" = '14' AND "Wheel arrangement" = '4-6-0' | 0.09375 |
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation FLOAT, wind_speed_mph NUMBER)
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
| A bar graph listing the local authorities and how many local authorities provided by all stations, rank from high to low by the the number of local authority. | SELECT local_authority, COUNT(local_authority) FROM station GROUP BY local_authority ORDER BY COUNT(local_authority) DESC | SELECT "local_authority", COUNT("local_authority") FROM "station" GROUP BY "local_authority" ORDER BY COUNT("local_authority") DESC | 0.12793 |
CREATE TABLE table_name_65 (points VARCHAR2, played NUMBER)
| How many Points have a Played larger than 18? | SELECT COUNT(points) FROM table_name_65 WHERE played > 18 | SELECT COUNT("points") FROM "table_name_65" WHERE "played" > 18 | 0.061523 |
CREATE TABLE table_62480 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What is Away Team, when Home Team is 'West Ham United'? | SELECT "Away team" FROM table_62480 WHERE "Home team" = 'west ham united' | SELECT "Away team" FROM "table_62480" WHERE "Home team" = 'west ham united' | 0.073242 |
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 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)
| count the number of patients whose admission location is clinic referral/premature and admission year is less than 2123? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.admityear < "2123" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2123" > "demographic"."admityear" AND "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.173828 |
CREATE TABLE table_name_17 (power VARCHAR2, city_of_license VARCHAR2)
| What power has thunder bay as the city of license? | SELECT power FROM table_name_17 WHERE city_of_license = "thunder bay" | SELECT "power" FROM "table_name_17" WHERE "city_of_license" = "thunder bay" | 0.073242 |
CREATE TABLE table_name_53 (verb_meaning VARCHAR2, part_1 VARCHAR2)
| what is the verb meaning when the part 1 is lopen? | SELECT verb_meaning FROM table_name_53 WHERE part_1 = "lopen" | SELECT "verb_meaning" FROM "table_name_53" WHERE "lopen" = "part_1" | 0.06543 |
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
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 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 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
| First occurences of popular tags. | SELECT *, (SELECT PostId FROM PostHistory WHERE PostHistoryTypeId IN (3, 6) AND Text LIKE '%<' + TagName + '>%' AND CreationDate > '20150301' ORDER BY CreationDate LIMIT 1) AS "Post Link" FROM Tags ORDER BY Count DESC LIMIT 100 | SELECT *, (SELECT "PostId" FROM "PostHistory" WHERE "CreationDate" > '20150301' AND "PostHistoryTypeId" IN (3, 6) AND "Text" LIKE '%<' + "TagName" + '>%' ORDER BY "CreationDate" FETCH FIRST 1 ROWS ONLY) AS "Post Link" FROM "Tags" ORDER BY "Count" DESC FETCH FIRST 100 ROWS ONLY | 0.270508 |
CREATE TABLE table_name_9 (overall NUMBER, name VARCHAR2, pick__number VARCHAR2)
| Which Overall is the highest one that has a Name of gregory spann, and a Pick # larger than 19? | SELECT MAX(overall) FROM table_name_9 WHERE name = "gregory spann" AND pick__number > 19 | SELECT MAX("overall") FROM "table_name_9" WHERE "gregory spann" = "name" AND "pick__number" > 19 | 0.09375 |
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)
| A bar chart about what are the number of rooms for each bed type? | SELECT bedType, COUNT(*) FROM Rooms GROUP BY bedType | SELECT "bedType", COUNT(*) FROM "Rooms" GROUP BY "bedType" | 0.056641 |
CREATE TABLE table_204_103 (id NUMBER, "medal" CLOB, "name" CLOB, "sport" CLOB, "event" CLOB)
| which player competed in women 's singles and won a silver medal ? | SELECT "name" FROM table_204_103 WHERE "event" = "women's singles" AND "medal" = 'silver' | SELECT "name" FROM "table_204_103" WHERE "event" = "women's singles" AND "medal" = 'silver' | 0.088867 |
CREATE TABLE table_31646 ("Tournament" CLOB, "1987" CLOB, "1988" CLOB, "1989" CLOB, "1990" CLOB, "1991" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB)
| Who had 1990 of 2 2 in 1993? | SELECT "1993" FROM table_31646 WHERE "1990" = '2–2' | SELECT "1993" FROM "table_31646" WHERE "1990" = '2–2' | 0.051758 |
CREATE TABLE table_204_51 (id NUMBER, "week #" CLOB, "theme" CLOB, "song choice" CLOB, "original artist" CLOB, "order #" NUMBER, "result" CLOB)
| how many songs was claudio zoli the original artist ? | SELECT COUNT("song choice") FROM table_204_51 WHERE "original artist" = 'claudio zoli' | SELECT COUNT("song choice") FROM "table_204_51" WHERE "original artist" = 'claudio zoli' | 0.085938 |
CREATE TABLE table_name_33 (status VARCHAR2, date VARCHAR2)
| What status has 15/04/1967 as the date? | SELECT status FROM table_name_33 WHERE date = "15/04/1967" | SELECT "status" FROM "table_name_33" WHERE "15/04/1967" = "date" | 0.0625 |
CREATE TABLE table_13974 ("Country" CLOB, "Airport" CLOB, "City" CLOB, "2008" FLOAT, "Change ( 08/07 ) " CLOB)
| Which 2008 has a City of durban? | SELECT AVG("2008") FROM table_13974 WHERE "City" = 'durban' | SELECT AVG("2008") FROM "table_13974" WHERE "City" = 'durban' | 0.05957 |
CREATE TABLE table_28037619_2 (us_viewers__million_ VARCHAR2, directed_by VARCHAR2, written_by VARCHAR2)
| How many million u.s. viewers saw the episode that was directed by roger young and written by debra j. fisher? | SELECT us_viewers__million_ FROM table_28037619_2 WHERE directed_by = "Roger Young" AND written_by = "Debra J. Fisher" | SELECT "us_viewers__million_" FROM "table_28037619_2" WHERE "Debra J. Fisher" = "written_by" AND "Roger Young" = "directed_by" | 0.123047 |
CREATE TABLE table_48349 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Nomination" CLOB, "Result" CLOB)
| What was the nomination in a year earlier than 2009? | SELECT "Nomination" FROM table_48349 WHERE "Year" < '2009' | SELECT "Nomination" FROM "table_48349" WHERE "Year" < '2009' | 0.058594 |
CREATE TABLE table_name_70 (home_team VARCHAR2, venue VARCHAR2)
| Tell me the home team for venue of mcg | SELECT home_team FROM table_name_70 WHERE venue = "mcg" | SELECT "home_team" FROM "table_name_70" WHERE "mcg" = "venue" | 0.05957 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| A scatter chart shows the correlation between Team_ID and All_Games_Percent , and group by attribute ACC_Home. | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Home | SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "ACC_Home" | 0.079102 |
CREATE TABLE table_name_3 (player VARCHAR2, pick VARCHAR2, team VARCHAR2)
| What player was picked earlier than 126 by the Houston Oilers? | SELECT player FROM table_name_3 WHERE pick < 126 AND team = "houston oilers" | SELECT "player" FROM "table_name_3" WHERE "houston oilers" = "team" AND "pick" < 126 | 0.082031 |
CREATE TABLE table_name_33 (chemical_class VARCHAR2, formula VARCHAR2)
| What is the chemical class for ri? | SELECT chemical_class FROM table_name_33 WHERE formula = "ri" | SELECT "chemical_class" FROM "table_name_33" WHERE "formula" = "ri" | 0.06543 |
CREATE TABLE table_77122 ("Date" CLOB, "Opponent#" CLOB, "Site" CLOB, "Result" CLOB, "Attendance" CLOB)
| what is the date when the opponent# is iowa? | SELECT "Date" FROM table_77122 WHERE "Opponent#" = 'iowa' | SELECT "Date" FROM "table_77122" WHERE "Opponent#" = 'iowa' | 0.057617 |
CREATE TABLE table_10160447_1 (position VARCHAR2, driver VARCHAR2)
| what's the total number of position with driver robby gordon | SELECT COUNT(position) FROM table_10160447_1 WHERE driver = "Robby Gordon" | SELECT COUNT("position") FROM "table_10160447_1" WHERE "Robby Gordon" = "driver" | 0.078125 |
CREATE TABLE table_18386 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| Which party is Lawrence H. Fountain part of? | SELECT "Party" FROM table_18386 WHERE "Incumbent" = 'Lawrence H. Fountain' | SELECT "Party" FROM "table_18386" WHERE "Incumbent" = 'Lawrence H. Fountain' | 0.074219 |
CREATE TABLE table_202_24 (id NUMBER, "year" NUMBER, "single" CLOB, "peak chart positions\ fin" NUMBER, "peak chart positions\ nor" NUMBER, "peak chart positions\ swe" NUMBER, "album" CLOB)
| which solid base single peaked highest on the finnish singles chart ? | SELECT "single" FROM table_202_24 ORDER BY "peak chart positions\nfin" LIMIT 1 | SELECT "single" FROM "table_202_24" ORDER BY "peak chart positions\nfin" FETCH FIRST 1 ROWS ONLY | 0.09375 |
CREATE TABLE table_203_654 (id NUMBER, "position" NUMBER, "team" CLOB, "points" NUMBER, "played" NUMBER, "won" NUMBER, "drawn" NUMBER, "lost" NUMBER, "for" NUMBER, "against" NUMBER, "difference" NUMBER)
| how many teams had more points than silex ? | SELECT COUNT("team") FROM table_203_654 WHERE "points" > (SELECT "points" FROM table_203_654 WHERE "team" = 'silex') | SELECT COUNT("team") FROM "table_203_654" WHERE "points" > (SELECT "points" FROM "table_203_654" WHERE "team" = 'silex') | 0.117188 |
CREATE TABLE table_1341672_10 (district VARCHAR2, incumbent VARCHAR2)
| what is the district where the incumbent is james a. haley? | SELECT district FROM table_1341672_10 WHERE incumbent = "James A. Haley" | SELECT "district" FROM "table_1341672_10" WHERE "James A. Haley" = "incumbent" | 0.076172 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, show me about the distribution of headquarter and the sum of revenue , and group by attribute headquarter in a bar chart, and could you sort Y in desc order? | SELECT Headquarter, SUM(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY SUM(Revenue) DESC | SELECT "Headquarter", SUM("Revenue") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY SUM("Revenue") DESC | 0.167969 |
CREATE TABLE airport (id VARCHAR2, country VARCHAR2, city VARCHAR2, name VARCHAR2)
| List the id, country, city and name of the airports ordered alphabetically by the name. | SELECT id, country, city, name FROM airport ORDER BY name | SELECT "id", "country", "city", "name" FROM "airport" ORDER BY "name" | 0.067383 |
CREATE TABLE table_79010 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Money ( $ ) " CLOB)
| What is the score for the United States when Harry Hampton is the player and the money is $73? | SELECT "Score" FROM table_79010 WHERE "Country" = 'united states' AND "Money ( $ )" = '73' AND "Player" = 'harry hampton' | SELECT "Score" FROM "table_79010" WHERE "Country" = 'united states' AND "Money ( $ )" = '73' AND "Player" = 'harry hampton' | 0.120117 |
CREATE TABLE table_21907 ("Rank" FLOAT, "Family" CLOB, "Abbre\\u00adviation" CLOB, "Constellation" CLOB, "Area ( sq.deg. ) " CLOB, "Area ( msr ) " CLOB, "Per\\u00adcent\\u00adage" CLOB, "Right ascension ( hm ) " CLOB, "Decli\\u00adnation ( dm ) " CLOB, "Quad" CLOB)
| What is the percentage of this constellation abbreviated as 'nor'? | SELECT "Per\u00adcent\u00adage" FROM table_21907 WHERE "Abbre\u00adviation" = 'Nor' | SELECT "Per\u00adcent\u00adage" FROM "table_21907" WHERE "Abbre\u00adviation" = 'Nor' | 0.083008 |
CREATE TABLE table_24099476_8 (round VARCHAR2, opponent VARCHAR2)
| In what round did he play against Sergiy Stakhovsky? | SELECT round FROM table_24099476_8 WHERE opponent = "Sergiy Stakhovsky" | SELECT "round" FROM "table_24099476_8" WHERE "Sergiy Stakhovsky" = "opponent" | 0.075195 |
CREATE TABLE table_name_14 (team_1 VARCHAR2)
| What was the 1st leg score for the match with Lesotho as team 1? | SELECT 1 AS st_leg FROM table_name_14 WHERE team_1 = "lesotho" | SELECT 1 AS "st_leg" FROM "table_name_14" WHERE "lesotho" = "team_1" | 0.066406 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients admitted before 2179 have undergone the procedure (aorto)coronary bypass of one coronary artery? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2179" AND procedures.long_title = "(Aorto)coronary bypass of one coronary artery" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "(Aorto)coronary bypass of one coronary artery" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2179" > "demographic"."admityear" | 0.25293 |
CREATE TABLE table_11734041_11 (player VARCHAR2, height_in_ft VARCHAR2)
| Which player had a height of 6-0? | SELECT player FROM table_11734041_11 WHERE height_in_ft = "6-0" | SELECT "player" FROM "table_11734041_11" WHERE "6-0" = "height_in_ft" | 0.067383 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (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 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| what is the number of days since patient 80555 last visited careunit tsicu during the current hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 80555 AND admissions.dischtime IS NULL) AND transfers.careunit = 'tsicu' ORDER BY transfers.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 80555 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "transfers"."intime")) FROM "transfers" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE "transfers"."careunit" = 'tsicu' AND NOT "_u_0"."" IS NULL ORDER BY "transfers"."intime" DESC FETCH FIRST 1 ROWS ONLY | 0.43457 |
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 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)
| provide the number of patients whose admission location is clinic referral/premature and procedure short title is cont inv mec ven is less than96 hrs? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.short_title = "Cont inv mec ven <96 hrs" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Cont inv mec ven <96 hrs" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.262695 |
CREATE TABLE table_name_71 (built VARCHAR2, location VARCHAR2)
| In what year was the bridge in Lovell built? | SELECT built FROM table_name_71 WHERE location = "lovell" | SELECT "built" FROM "table_name_71" WHERE "location" = "lovell" | 0.061523 |
CREATE TABLE table_23280 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| How many were first elected in California 7? | SELECT "First elected" FROM table_23280 WHERE "District" = 'California 7' | SELECT "First elected" FROM "table_23280" WHERE "District" = 'California 7' | 0.073242 |
CREATE TABLE table_10606 ("Entrant" CLOB, "Constructor" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyre" CLOB, "Driver" CLOB, "Rounds" CLOB)
| Which engine was on a car with G tires, a chassis model of 003 002 004 005 006, driven by Jackie Stewart? | SELECT "Engine" FROM table_10606 WHERE "Tyre" = 'g' AND "Chassis" = '003 002 004 005 006' AND "Driver" = 'jackie stewart' | SELECT "Engine" FROM "table_10606" WHERE "Chassis" = '003 002 004 005 006' AND "Driver" = 'jackie stewart' AND "Tyre" = 'g' | 0.120117 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Find ACC_Road and School_ID , and group by attribute All_Home, and visualize them by a bar chart, and sort from low to high by the y axis. | SELECT ACC_Road, School_ID FROM basketball_match GROUP BY All_Home, ACC_Road ORDER BY School_ID | SELECT "ACC_Road", "School_ID" FROM "basketball_match" GROUP BY "All_Home", "ACC_Road" ORDER BY "School_ID" | 0.104492 |
CREATE TABLE table_15581223_8 (int NUMBER, sacks VARCHAR2)
| Name the least int yards when sacks is 11.5 | SELECT MIN(int) AS yards FROM table_15581223_8 WHERE sacks = "11.5" | SELECT MIN("int") AS "yards" FROM "table_15581223_8" WHERE "11.5" = "sacks" | 0.073242 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| Visualize a bar chart about the distribution of Sex and the average of Height , and group by attribute Sex, order x-axis from high to low order please. | SELECT Sex, AVG(Height) FROM people GROUP BY Sex ORDER BY Sex DESC | SELECT "Sex", AVG("Height") FROM "people" GROUP BY "Sex" ORDER BY "Sex" DESC | 0.074219 |
CREATE TABLE table_name_92 (team VARCHAR2, recopa_1994 VARCHAR2, conmebol_1994 VARCHAR2)
| Which Team has a Recopa 1994 of n/a and a CONMEBOL 1994 of 1st round? | SELECT team FROM table_name_92 WHERE recopa_1994 = "n/a" AND conmebol_1994 = "1st round" | SELECT "team" FROM "table_name_92" WHERE "1st round" = "conmebol_1994" AND "n/a" = "recopa_1994" | 0.09375 |
CREATE TABLE table_49755 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| what is the airport for the country tunisia with the icao dtaa? | SELECT "Airport" FROM table_49755 WHERE "Country" = 'tunisia' AND "ICAO" = 'dtaa' | SELECT "Airport" FROM "table_49755" WHERE "Country" = 'tunisia' AND "ICAO" = 'dtaa' | 0.081055 |
CREATE TABLE event (stadium_id VARCHAR2, name VARCHAR2)
CREATE TABLE stadium (name VARCHAR2, capacity VARCHAR2, id VARCHAR2)
| Find the name and capacity of the stadium where the event named 'World Junior' happened. | SELECT t1.name, t1.capacity FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id WHERE t2.name = 'World Junior' | SELECT "t1"."name", "t1"."capacity" FROM "stadium" "t1" JOIN "event" "t2" ON "t1"."id" = "t2"."stadium_id" AND "t2"."name" = 'World Junior' | 0.135742 |
CREATE TABLE table_name_99 (place NUMBER, artist VARCHAR2, points VARCHAR2)
| what is the average place when the artist is juliana pasha & luiz ejlli and the points is more than 119? | SELECT AVG(place) FROM table_name_99 WHERE artist = "juliana pasha & luiz ejlli" AND points > 119 | SELECT AVG("place") FROM "table_name_99" WHERE "artist" = "juliana pasha & luiz ejlli" AND "points" > 119 | 0.102539 |
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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| tell me how many doses of probalance patient 25733 had consumed today. | 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 = 25733)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'probalance' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25733 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" = 'probalance' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.788086 |
CREATE TABLE train (Train_ID NUMBER, Name CLOB, Time CLOB, Service CLOB)
CREATE TABLE train_station (Train_ID NUMBER, Station_ID NUMBER)
CREATE TABLE station (Station_ID NUMBER, Name CLOB, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location CLOB, Main_Services CLOB, Number_of_Platforms NUMBER)
| For all train stations not in London with a pie chart, show me the proportion of total_passengers of different names. | SELECT Name, Total_Passengers FROM station WHERE Location <> 'London' | SELECT "Name", "Total_Passengers" FROM "station" WHERE "Location" <> 'London' | 0.075195 |
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 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)
| how many patients whose days of hospital stay is greater than 20 and procedure short title is open biopsy soft tissue? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "20" AND procedures.short_title = "Open biopsy soft tissue" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Open biopsy soft tissue" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "20" < "demographic"."days_stay" | 0.230469 |
CREATE TABLE table_64313 ("Club" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| What is the average number of draws for Mortlake club when they have less than 0 wins? | SELECT AVG("Draws") FROM table_64313 WHERE "Club" = 'mortlake' AND "Wins" < '0' | SELECT AVG("Draws") FROM "table_64313" WHERE "Club" = 'mortlake' AND "Wins" < '0' | 0.079102 |
CREATE TABLE table_name_89 (points VARCHAR2, tries_for VARCHAR2)
| WHAT IS THE POINTS WITH 55 TRIES? | SELECT points FROM table_name_89 WHERE tries_for = "55" | SELECT "points" FROM "table_name_89" WHERE "55" = "tries_for" | 0.05957 |
CREATE TABLE table_26805 ("School" CLOB, "Mascot" CLOB, "Location" CLOB, "Founded" FLOAT, "Entered ISL" FLOAT, "Grades" CLOB, "Number of Students" CLOB, "Varsity Teams" FLOAT)
| how many places have 17 varsity teams? | SELECT COUNT("Location") FROM table_26805 WHERE "Varsity Teams" = '17' | SELECT COUNT("Location") FROM "table_26805" WHERE "Varsity Teams" = '17' | 0.070313 |
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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| when was the first test performed in the lab on patient 71689? | SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 71689) ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 71689 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.30957 |
CREATE TABLE table_15358 ("Place" FLOAT, "Team" CLOB, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" FLOAT)
| Name the sum of goals conceded when lost is more than 7 and points less than 26 | SELECT SUM("Goals Conceded") FROM table_15358 WHERE "Lost" > '7' AND "Points" < '26' | SELECT SUM("Goals Conceded") FROM "table_15358" WHERE "Lost" > '7' AND "Points" < '26' | 0.083984 |
CREATE TABLE church (church_id NUMBER, name CLOB, organized_by CLOB, open_date NUMBER, continuation_of CLOB)
CREATE TABLE wedding (church_id NUMBER, male_id NUMBER, female_id NUMBER, year NUMBER)
CREATE TABLE people (people_id NUMBER, name CLOB, country CLOB, is_male CLOB, age NUMBER)
| How many female people are older than 30 in our record? | SELECT COUNT(*) FROM people WHERE is_male = 'F' AND age > 30 | SELECT COUNT(*) FROM "people" WHERE "age" > 30 AND "is_male" = 'F' | 0.064453 |
CREATE TABLE table_62566 ("Parish ( Prestegjeld ) " CLOB, "Sub-Parish ( Sokn ) " CLOB, "Church Name" CLOB, "Year Built" FLOAT, "Location of the Church" CLOB)
| Which church was built in 1600? | SELECT "Church Name" FROM table_62566 WHERE "Year Built" = '1600' | SELECT "Church Name" FROM "table_62566" WHERE "Year Built" = '1600' | 0.06543 |
CREATE TABLE Order_Items (item_id NUMBER, order_item_status_code VARCHAR2, order_id NUMBER, product_id NUMBER, item_status_code VARCHAR2, item_delivered_datetime DATETIME, item_order_quantity VARCHAR2)
CREATE TABLE Mailshot_Campaigns (mailshot_id NUMBER, product_category VARCHAR2, mailshot_name VARCHAR2, mailshot_start_date DATETIME, mailshot_end_date DATETIME)
CREATE TABLE Products (product_id NUMBER, product_category VARCHAR2, product_name VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, premise_id NUMBER, date_address_from DATETIME, address_type_code VARCHAR2, date_address_to DATETIME)
CREATE TABLE Premises (premise_id NUMBER, premises_type VARCHAR2, premise_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, payment_method VARCHAR2, customer_name VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, customer_address VARCHAR2, customer_login VARCHAR2, customer_password VARCHAR2)
CREATE TABLE Mailshot_Customers (mailshot_id NUMBER, customer_id NUMBER, outcome_code VARCHAR2, mailshot_customer_date DATETIME)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, shipping_method_code VARCHAR2, order_placed_datetime DATETIME, order_delivered_datetime DATETIME, order_shipping_charges VARCHAR2)
| Show the of customer addresses and group by premises type and address type code in a stacked bar chart The x-axis is premises type, and I want to sort in descending by the total number please. | SELECT premises_type, COUNT(premises_type) FROM Customer_Addresses AS T1 JOIN Premises AS T2 ON T1.premise_id = T2.premise_id GROUP BY address_type_code, premises_type ORDER BY COUNT(premises_type) DESC | SELECT "premises_type", COUNT("premises_type") FROM "Customer_Addresses" "T1" JOIN "Premises" "T2" ON "T1"."premise_id" = "T2"."premise_id" GROUP BY "address_type_code", "premises_type" ORDER BY COUNT("premises_type") DESC | 0.216797 |
CREATE TABLE table_5097 ("Year" CLOB, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| Who played women's doubles in 1936? | SELECT "Women's doubles" FROM table_5097 WHERE "Year" = '1936' | SELECT "Women's doubles" FROM "table_5097" WHERE "Year" = '1936' | 0.0625 |
CREATE TABLE table_71157 ("Margin" FLOAT, "Score" CLOB, "Opponent" CLOB, "Venue" CLOB, "Year" FLOAT)
| Name the venue for margin less than 66 and opponent of north queensland cowboys | SELECT "Venue" FROM table_71157 WHERE "Margin" < '66' AND "Opponent" = 'north queensland cowboys' | SELECT "Venue" FROM "table_71157" WHERE "Margin" < '66' AND "Opponent" = 'north queensland cowboys' | 0.09668 |
CREATE TABLE table_77257 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the average number of laps with an accident time/retired, aprilia manufacturer and a grid of 27? | SELECT AVG("Laps") FROM table_77257 WHERE "Time/Retired" = 'accident' AND "Manufacturer" = 'aprilia' AND "Grid" = '27' | SELECT AVG("Laps") FROM "table_77257" WHERE "Grid" = '27' AND "Manufacturer" = 'aprilia' AND "Time/Retired" = 'accident' | 0.117188 |
CREATE TABLE table_42346 ("Date" CLOB, "Result" CLOB, "Score" CLOB, "Brazil scorers" CLOB, "Competition" CLOB)
| Who were the Brazil scorers for the World Cup Competition with a 1-2 score? | SELECT "Brazil scorers" FROM table_42346 WHERE "Competition" = 'world cup' AND "Score" = '1-2' | SELECT "Brazil scorers" FROM "table_42346" WHERE "Competition" = 'world cup' AND "Score" = '1-2' | 0.09375 |
CREATE TABLE table_53855 ("Rank" FLOAT, "Club 1" CLOB, "Seasons" FLOAT, "Spells" FLOAT, "Played 2" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals" CLOB, "Points 3" CLOB)
| What is the rank number with 562-506 goals before season 13? | SELECT COUNT("Rank") FROM table_53855 WHERE "Goals" = '562-506' AND "Seasons" < '13' | SELECT COUNT("Rank") FROM "table_53855" WHERE "Goals" = '562-506' AND "Seasons" < '13' | 0.083984 |
CREATE TABLE table_name_96 (position VARCHAR2, college VARCHAR2)
| Name the position of the player from college of virginia | SELECT position FROM table_name_96 WHERE college = "virginia" | SELECT "position" FROM "table_name_96" WHERE "college" = "virginia" | 0.06543 |
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