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CREATE TABLE table_80108 ("Hits" FLOAT, "Player" CLOB, "Team" CLOB, "Year" FLOAT, "Years Record Stood" CLOB)
| Name the least hits for year less than 1920 and player of ed delahanty | SELECT MIN("Hits") FROM table_80108 WHERE "Year" < '1920' AND "Player" = 'ed delahanty' | SELECT MIN("Hits") FROM "table_80108" WHERE "Player" = 'ed delahanty' AND "Year" < '1920' | 0.086914 |
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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
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 area (course_id NUMBER, area VARCHAR2)
| Is there a class about Physiology Masters Research Capstone ? | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Physiology Masters Research Capstone%' OR name LIKE '%Physiology Masters Research Capstone%') AND department = 'EECS' | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "department" = 'EECS' AND ("description" LIKE '%Physiology Masters Research Capstone%' OR "name" LIKE '%Physiology Masters Research Capstone%') | 0.205078 |
CREATE TABLE table_59413 ("Year" CLOB, "Result" CLOB, "Matches" CLOB, "Wins" CLOB, "Draws" CLOB, "Losses" CLOB)
| What year was the result did not qualify? | SELECT "Year" FROM table_59413 WHERE "Result" = 'did not qualify' | SELECT "Year" FROM "table_59413" WHERE "Result" = 'did not qualify' | 0.06543 |
CREATE TABLE table_12294 ("Main contestant" CLOB, "Co-contestant ( Yaar vs. Pyaar ) " CLOB, "Date performed" CLOB, "Scores by each individual judge" CLOB, "Total score/week" CLOB, "Position" CLOB, "Status" CLOB)
| What Scores by each individual judge has a Total score/week of 51/60, and a Co-contestant (Yaar vs. Pyaar) of tina sachdev? | SELECT "Scores by each individual judge" FROM table_12294 WHERE "Total score/week" = '51/60' AND "Co-contestant (Yaar vs. Pyaar)" = 'tina sachdev' | SELECT "Scores by each individual judge" FROM "table_12294" WHERE "Co-contestant (Yaar vs. Pyaar)" = 'tina sachdev' AND "Total score/week" = '51/60' | 0.144531 |
CREATE TABLE table_14624447_24 (class VARCHAR2, position VARCHAR2)
| What are all classes for the position SLB? | SELECT class FROM table_14624447_24 WHERE position = "SLB" | SELECT "class" FROM "table_14624447_24" WHERE "SLB" = "position" | 0.0625 |
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)
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)
| how many patients stayed in hospital for more than 17 days and used the drug potassium phosphate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "17" AND prescriptions.drug = "Potassium Phosphate" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Potassium Phosphate" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "17" < "demographic"."days_stay" | 0.228516 |
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 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)
| find the drug code of subject id 3343. | SELECT prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.subject_id = "3343" | SELECT "prescriptions"."formulary_drug_cd" FROM "prescriptions" WHERE "3343" = "prescriptions"."subject_id" | 0.104492 |
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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| what do rad subtot pancreatectom costs? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'procedures_icd' AND cost.event_id IN (SELECT procedures_icd.row_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'rad subtot pancreatectom')) | WITH "_u_1" AS (SELECT "procedures_icd"."row_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'rad subtot pancreatectom' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'procedures_icd' AND NOT "_u_1"."" IS NULL | 0.404297 |
CREATE TABLE table_204_792 (id NUMBER, "#" NUMBER, "date" CLOB, "opponent" CLOB, "score" CLOB, "win" CLOB, "loss" CLOB, "save" CLOB, "attendance" NUMBER, "record" CLOB)
| what was the difference in runs between the two teams on september 15 ? | SELECT ABS("score" - "score") FROM table_204_792 WHERE "date" = 'september 15' | SELECT ABS("score" - "score") FROM "table_204_792" WHERE "date" = 'september 15' | 0.078125 |
CREATE TABLE table_38747 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team ( League ) " CLOB)
| What nationality is Daryn Fersovich? | SELECT "Nationality" FROM table_38747 WHERE "Player" = 'daryn fersovich' | SELECT "Nationality" FROM "table_38747" WHERE "Player" = 'daryn fersovich' | 0.072266 |
CREATE TABLE table_237757_9 (nasl_club_s_ VARCHAR2, accolades__pre_nasl_ VARCHAR2)
| What nasl club won several titles with leeds united? | SELECT nasl_club_s_ FROM table_237757_9 WHERE accolades__pre_nasl_ = "Won several titles with Leeds United" | SELECT "nasl_club_s_" FROM "table_237757_9" WHERE "Won several titles with Leeds United" = "accolades__pre_nasl_" | 0.110352 |
CREATE TABLE table_61429 ("County" CLOB, "Precincts" CLOB, "C. Abate" CLOB, "R. Bacon" CLOB, "D. Shulman" CLOB)
| What are the numbers for D. Shulman in Warren County? | SELECT "D. Shulman" FROM table_61429 WHERE "County" = 'warren' | SELECT "D. Shulman" FROM "table_61429" WHERE "County" = 'warren' | 0.0625 |
CREATE TABLE table_59605 ("Pick" FLOAT, "AFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What position does Karl Singer play? | SELECT "Position" FROM table_59605 WHERE "Player" = 'karl singer' | SELECT "Position" FROM "table_59605" WHERE "Player" = 'karl singer' | 0.06543 |
CREATE TABLE table_55266 ("English" CLOB, "Space Crusade" CLOB, "Aliens" CLOB, "Chaos Marines" CLOB, "Genestealers" CLOB, "Imperial Fists" CLOB, "Ultramarines" CLOB)
| Name the space crusade when the english is of finnish | SELECT "Space Crusade" FROM table_55266 WHERE "English" = 'finnish' | SELECT "Space Crusade" FROM "table_55266" WHERE "English" = 'finnish' | 0.067383 |
CREATE TABLE table_23957 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Orangemen points" FLOAT, "Opponents" FLOAT, "Record" CLOB)
| When did they play against West Virginia? | SELECT "Date" FROM table_23957 WHERE "Opponent" = 'West Virginia' | SELECT "Date" FROM "table_23957" WHERE "Opponent" = 'West Virginia' | 0.06543 |
CREATE TABLE table_18061 ("Country" CLOB, "Population" FLOAT, "Native American" CLOB, "Whites" CLOB, "s Mestizo" CLOB, "es Mulatto" CLOB, "Blacks" CLOB, "s Zambo" CLOB, "Asians" CLOB)
| what's the country with es mulatto being 3.5% | SELECT "Country" FROM table_18061 WHERE "es Mulatto" = '3.5%' | SELECT "Country" FROM "table_18061" WHERE "es Mulatto" = '3.5%' | 0.061523 |
CREATE TABLE table_name_44 (director_s_ VARCHAR2, film VARCHAR2)
| Who directed the film Antonio's Breakfast? | SELECT director_s_ FROM table_name_44 WHERE film = "antonio's breakfast" | SELECT "director_s_" FROM "table_name_44" WHERE "antonio's breakfast" = "film" | 0.076172 |
CREATE TABLE table_66681 ("Date ( s ) Released" CLOB, "Polling institute" CLOB, "Nationalist" CLOB, "Labour" CLOB, "Democratic Alternative" CLOB, "Undecided/ No answer" CLOB, "Lead" CLOB)
| Which polling institute showed a lead of 12% and a Labour share of the poll at 40.2%? | SELECT "Polling institute" FROM table_66681 WHERE "Lead" = '12%' AND "Labour" = '40.2%' | SELECT "Polling institute" FROM "table_66681" WHERE "Labour" = '40.2%' AND "Lead" = '12%' | 0.086914 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
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 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)
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 PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
| A pie chart about how many credits does the department offer? | SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE | SELECT "DEPT_CODE", SUM("CRS_CREDIT") FROM "COURSE" GROUP BY "DEPT_CODE" | 0.070313 |
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)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| Draw a bar chart of sex versus mean height | SELECT Sex, AVG(Height) FROM people GROUP BY Sex | SELECT "Sex", AVG("Height") FROM "people" GROUP BY "Sex" | 0.054688 |
CREATE TABLE table_28544 ("Round" CLOB, "Circuit" CLOB, "Date" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning Driver" CLOB, "Winning Team" CLOB)
| On what date is the winning team Abt Sportsline and pole position Mattias Ekstr m in the Circuit Ricardo Tormo , Valencia? | SELECT "Date" FROM table_28544 WHERE "Winning Team" = 'Abt Sportsline' AND "Pole Position" = 'Mattias Ekström' AND "Circuit" = 'Circuit Ricardo Tormo , Valencia' | SELECT "Date" FROM "table_28544" WHERE "Circuit" = 'Circuit Ricardo Tormo , Valencia' AND "Pole Position" = 'Mattias Ekström' AND "Winning Team" = 'Abt Sportsline' | 0.15918 |
CREATE TABLE table_25331 ("County" CLOB, "Population" FLOAT, "Unemployment Rate" CLOB, "Market Income Per Capita" CLOB, "Poverty Rate" CLOB, "Status" CLOB)
| Name the total number of population for craig | SELECT COUNT("Population") FROM table_25331 WHERE "County" = 'Craig' | SELECT COUNT("Population") FROM "table_25331" WHERE "County" = 'Craig' | 0.068359 |
CREATE TABLE table_38905 ("Track number" FLOAT, "Title" CLOB, "Songwriter ( s ) " CLOB, "Recording date" CLOB, "Time" CLOB)
| What is the average track number 3:25 long and a title of Great Getting up Mornin'? | SELECT AVG("Track number") FROM table_38905 WHERE "Time" = '3:25' AND "Title" = 'great getting up mornin' | SELECT AVG("Track number") FROM "table_38905" WHERE "Time" = '3:25' AND "Title" = 'great getting up mornin' | 0.104492 |
CREATE TABLE table_name_37 (height__m_ NUMBER, class VARCHAR2, prom__m_ VARCHAR2)
| Tell me the lowest height for class of hewitt and prom less than 148 | SELECT MIN(height__m_) FROM table_name_37 WHERE class = "hewitt" AND prom__m_ < 148 | SELECT MIN("height__m_") FROM "table_name_37" WHERE "class" = "hewitt" AND "prom__m_" < 148 | 0.088867 |
CREATE TABLE table_15098 ("Year" FLOAT, "Chassis" CLOB, "Engine ( s ) " CLOB, "Tyres" CLOB, "Points" FLOAT)
| Which chassis was used when over 6 points were earned? | SELECT "Chassis" FROM table_15098 WHERE "Points" = '6' | SELECT "Chassis" FROM "table_15098" WHERE "Points" = '6' | 0.054688 |
CREATE TABLE table_32434 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| On what date is Footscray the away team? | SELECT "Date" FROM table_32434 WHERE "Away team" = 'footscray' | SELECT "Date" FROM "table_32434" WHERE "Away team" = 'footscray' | 0.0625 |
CREATE TABLE table_13012165_1 (maryland VARCHAR2, delaware VARCHAR2, year VARCHAR2)
| After the year 2008.0, who played for Maryland the same year M.O.T. LL Middletown played in Delaware? | SELECT maryland FROM table_13012165_1 WHERE delaware = "M.O.T. LL Middletown" AND year > 2008.0 | SELECT "maryland" FROM "table_13012165_1" WHERE "M.O.T. LL Middletown" = "delaware" AND "year" > 2008.0 | 0.100586 |
CREATE TABLE table_62657 ("Rank" FLOAT, "Railway Station" CLOB, "Annual entry/exit ( millions ) 2011\\u201312" FLOAT, "Annual interchanges ( millions ) 2011\\u201312" FLOAT, "Total Passengers ( millions ) 2011\\u201312" FLOAT, "Location" CLOB, "Number of Platforms" FLOAT)
| What's the average annual interchange for a rank over 26 in liverpool with an annual entry/exit less than 14.209 and more than 10 platforms? | SELECT AVG("Annual interchanges (millions) 2011\u201312") FROM table_62657 WHERE "Rank" > '26' AND "Location" = 'liverpool' AND "Annual entry/exit (millions) 2011\u201312" < '14.209' AND "Number of Platforms" > '10' | SELECT AVG("Annual interchanges (millions) 2011\u201312") FROM "table_62657" WHERE "Annual entry/exit (millions) 2011\u201312" < '14.209' AND "Location" = 'liverpool' AND "Number of Platforms" > '10' AND "Rank" > '26' | 0.211914 |
CREATE TABLE table_train_93 ("id" NUMBER, "mini_mental_state_examination_mmse" NUMBER, "creatinine_clearance_cl" FLOAT, "cornell_scale_for_depression_in_dementia_csdd" NUMBER, "clinical_dementia_rating_cdr" FLOAT, "NOUSE" FLOAT)
| creatinine clearance < 30 ml / min | SELECT * FROM table_train_93 WHERE creatinine_clearance_cl < 30 | SELECT * FROM "table_train_93" WHERE "creatinine_clearance_cl" < 30 | 0.06543 |
CREATE TABLE table_76638 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| What year did player steve jones, who had a t60 finish, win? | SELECT "Year(s) won" FROM table_76638 WHERE "Finish" = 't60' AND "Player" = 'steve jones' | SELECT "Year(s) won" FROM "table_76638" WHERE "Finish" = 't60' AND "Player" = 'steve jones' | 0.088867 |
CREATE TABLE table_24191 ("Season" FLOAT, "Season premiere" CLOB, "Season finale" CLOB, "TV Season" CLOB, "Rank" CLOB, "Viewers ( in millions ) " CLOB)
| Name the rank for 14.80 viewers | SELECT "Rank" FROM table_24191 WHERE "Viewers (in millions)" = '14.80' | SELECT "Rank" FROM "table_24191" WHERE "Viewers (in millions)" = '14.80' | 0.070313 |
CREATE TABLE table_66984 ("Ship" CLOB, "Pennant number" CLOB, "Laid down" CLOB, "Launched" CLOB, "Completed" CLOB)
| Name the launched for 13 september 1934 completion | SELECT "Launched" FROM table_66984 WHERE "Completed" = '13 september 1934' | SELECT "Launched" FROM "table_66984" WHERE "Completed" = '13 september 1934' | 0.074219 |
CREATE TABLE table_name_89 (home_team VARCHAR2, away_team VARCHAR2)
| Who did Collingwood play at home? | SELECT home_team FROM table_name_89 WHERE away_team = "collingwood" | SELECT "home_team" FROM "table_name_89" WHERE "away_team" = "collingwood" | 0.071289 |
CREATE TABLE table_name_74 (finish VARCHAR2, qual VARCHAR2)
| What finish qualified at 141.071? | SELECT finish FROM table_name_74 WHERE qual = "141.071" | SELECT "finish" FROM "table_name_74" WHERE "141.071" = "qual" | 0.05957 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
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 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 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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 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 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)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what was the name of the drug prescribed in 12/this year to patient 15945 two or more times? | SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15945) AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', prescriptions.startdate) = '12' GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 >= 2 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15945 GROUP BY "hadm_id"), "t1" AS (SELECT "prescriptions"."drug", COUNT("prescriptions"."startdate") AS "c1" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "prescriptions"."startdate") = '12' GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" >= 2 | 0.564453 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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 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)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| Find employee with ID and name of the country presently where (s)he is working Visualize by bar chart, could you list Y in descending order? | SELECT COUNTRY_NAME, SUM(EMPLOYEE_ID) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID JOIN locations AS T3 ON T2.LOCATION_ID = T3.LOCATION_ID JOIN countries AS T4 ON T3.COUNTRY_ID = T4.COUNTRY_ID GROUP BY COUNTRY_NAME ORDER BY SUM(EMPLOYEE_ID) DESC | SELECT "COUNTRY_NAME", SUM("EMPLOYEE_ID") FROM "employees" "T1" JOIN "departments" "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" JOIN "locations" "T3" ON "T2"."LOCATION_ID" = "T3"."LOCATION_ID" JOIN "countries" "T4" ON "T3"."COUNTRY_ID" = "T4"."COUNTRY_ID" GROUP BY "COUNTRY_NAME" ORDER BY SUM("EMPLOYEE_ID") DESC | 0.311523 |
CREATE TABLE table_name_9 (date VARCHAR2, record VARCHAR2)
| Name the date with record of 55-24 | SELECT date FROM table_name_9 WHERE record = "55-24" | SELECT "date" FROM "table_name_9" WHERE "55-24" = "record" | 0.056641 |
CREATE TABLE table_name_43 (wins VARCHAR2, series VARCHAR2, podiums VARCHAR2)
| How many wins where there total for Series named formula 3 euro series as well as having more than 2 Podiums? | SELECT COUNT(wins) FROM table_name_43 WHERE series = "formula 3 euro series" AND podiums > 2 | SELECT COUNT("wins") FROM "table_name_43" WHERE "formula 3 euro series" = "series" AND "podiums" > 2 | 0.097656 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what are the three most common diagnoses for patients that had previously received analgesics - neuraxial analgesics during the same hospital encounter until 2 years ago? | SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'analgesics - neuraxial analgesics' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosisname", "diagnosis"."diagnosistime", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."diagnosistime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'analgesics - neuraxial analgesics' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."diagnosisname") SELECT "t3"."diagnosisname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.927734 |
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_labitems (row_id NUMBER, itemid NUMBER, label 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 procedures_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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_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)
| when was patient 18677 prescribed the drug pantoprazole and omeprazole at the same time for the last time since 10/2103? | SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'pantoprazole' AND admissions.subject_id = 18677 AND STRFTIME('%y-%m', prescriptions.startdate) >= '2103-10') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'omeprazole' AND admissions.subject_id = 18677 AND STRFTIME('%y-%m', prescriptions.startdate) >= '2103-10') AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate DESC LIMIT 1 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 18677 WHERE "prescriptions"."drug" = 'omeprazole' AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2103-10') SELECT "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 18677 JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'pantoprazole' AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2103-10' ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.773438 |
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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is admission type and admission time of subject name ida cook? | SELECT demographic.admission_type, demographic.admittime FROM demographic WHERE demographic.name = "Ida Cook" | SELECT "demographic"."admission_type", "demographic"."admittime" FROM "demographic" WHERE "Ida Cook" = "demographic"."name" | 0.120117 |
CREATE TABLE table_39142 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team ( League ) " CLOB)
| What is the position of United States' player Brett Lawrence? | SELECT "Position" FROM table_39142 WHERE "Nationality" = 'united states' AND "Player" = 'brett lawrence' | SELECT "Position" FROM "table_39142" WHERE "Nationality" = 'united states' AND "Player" = 'brett lawrence' | 0.103516 |
CREATE TABLE table_37679 ("Category" CLOB, "Type" CLOB, "Attribute" CLOB, "Bubbles" CLOB, "Cancelable" CLOB)
| When Cancelable of yes, and a Type of drag, what was the Category? | SELECT "Category" FROM table_37679 WHERE "Cancelable" = 'yes' AND "Type" = 'drag' | SELECT "Category" FROM "table_37679" WHERE "Cancelable" = 'yes' AND "Type" = 'drag' | 0.081055 |
CREATE TABLE table_43843 ("School" CLOB, "Location" CLOB, "Founded" FLOAT, "Affiliation" CLOB, "Nickname" CLOB)
| What school has the nickname of Cardinals? | SELECT MIN("Founded") FROM table_43843 WHERE "Nickname" = 'cardinals' | SELECT MIN("Founded") FROM "table_43843" WHERE "Nickname" = 'cardinals' | 0.069336 |
CREATE TABLE table_203_370 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| how many times in total did ikangaa run the marathon in the olympic games ? | SELECT COUNT(*) FROM table_203_370 WHERE "competition" = 'olympic games' | SELECT COUNT(*) FROM "table_203_370" WHERE "competition" = 'olympic games' | 0.072266 |
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)
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)
| what is the admission type and diagnosis long title of subject id 2560? | SELECT demographic.admission_type, diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "2560" | SELECT "demographic"."admission_type", "diagnoses"."long_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2560" = "demographic"."subject_id" | 0.1875 |
CREATE TABLE table_31080 ("Year" FLOAT, "Number of tropical storms" FLOAT, "Number of hurricanes" FLOAT, "Number of major hurricanes" FLOAT, "Deaths" CLOB, "Strongest storm" CLOB)
| How many years saw 3 hurricanes wherein the strongest storm was level three? | SELECT COUNT("Year") FROM table_31080 WHERE "Number of hurricanes" = '3' AND "Strongest storm" = 'Three' | SELECT COUNT("Year") FROM "table_31080" WHERE "Number of hurricanes" = '3' AND "Strongest storm" = 'Three' | 0.103516 |
CREATE TABLE table_62549 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What was the highest money when the score was 69-68-67-69=273? | SELECT MAX("Money ( $ )") FROM table_62549 WHERE "Score" = '69-68-67-69=273' | SELECT MAX("Money ( $ )") FROM "table_62549" WHERE "Score" = '69-68-67-69=273' | 0.076172 |
CREATE TABLE table_204_617 (id NUMBER, "date" CLOB, "opponent#" CLOB, "rank#" CLOB, "site" CLOB, "tv" CLOB, "result" CLOB, "attendance" NUMBER)
| what was the ranking in each november game ? | SELECT "rank#" FROM table_204_617 WHERE "date" = 11 | SELECT "rank#" FROM "table_204_617" WHERE "date" = 11 | 0.051758 |
CREATE TABLE table_22034853_1 (year__ceremony_ VARCHAR2, original_title VARCHAR2)
| What was the year for the film 'Vitus'? | SELECT year__ceremony_ FROM table_22034853_1 WHERE original_title = "Vitus" | SELECT "year__ceremony_" FROM "table_22034853_1" WHERE "Vitus" = "original_title" | 0.079102 |
CREATE TABLE table_name_98 (driver VARCHAR2, date VARCHAR2)
| Who is the Driver, when the Date is October 6? | SELECT driver FROM table_name_98 WHERE date = "october 6" | SELECT "driver" FROM "table_name_98" WHERE "date" = "october 6" | 0.061523 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
| display users name and text comments. | SELECT DisplayName, 'text' FROM Users INNER JOIN Comments ON Users.Id = Comments.UserId WHERE Users.DisplayName LIKE 'Tawfik' | SELECT "DisplayName", 'text' FROM "Users" JOIN "Comments" ON "Comments"."UserId" = "Users"."Id" WHERE "Users"."DisplayName" LIKE 'Tawfik' | 0.133789 |
CREATE TABLE table_203_54 (id NUMBER, "selected\ latin american\ countries" CLOB, "internl.\ tourism\ arrivals\ 2010\ ( x 1000 ) " NUMBER, "internl.\ tourism\ receipts.\ 2010\ ( usd\ ( x1000 ) " NUMBER, "average\ receipt\ per visitor\ 2009\ ( usd/turista ) " NUMBER, "tourist\ arrivals\ per\ 1000 inhab\ ( estimated ) \ 2007" NUMBER, "receipts\ per\ capita\ 2005\ usd" NUMBER, "revenues\ as %\ exports of\ goods and\ services\ 2003" NUMBER, "tourism\ income\ %\ gdp\ 2003" NUMBER, "% direct and\ indirect\ employment\ in tourism\ 2005" NUMBER, "world\ ranking\ tourism\ competitiv.\ ttci\ 2011" NUMBER, "2011\ ttci\ index" NUMBER)
| what country had the most receipts per capita in 2005 ? | SELECT "selected\nlatin american\ncountries" FROM table_203_54 ORDER BY "receipts\nper\ncapita\n2005\nusd" DESC LIMIT 1 | SELECT "selected\nlatin american\ncountries" FROM "table_203_54" ORDER BY "receipts\nper\ncapita\n2005\nusd" DESC FETCH FIRST 1 ROWS ONLY | 0.133789 |
CREATE TABLE table_50814 ("Edition" CLOB, "Round" CLOB, "Date" CLOB, "Against" CLOB, "Surface" CLOB, "Opponent" CLOB, "Result" CLOB)
| who is the opponent when norway is against? | SELECT "Opponent" FROM table_50814 WHERE "Against" = 'norway' | SELECT "Opponent" FROM "table_50814" WHERE "Against" = 'norway' | 0.061523 |
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)
| how many patients discharged to long term care hospital have coronary arterydiasease as the primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "LONG TERM CARE HOSPITAL" AND demographic.diagnosis = "CORONARY ARTERY DISEASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CORONARY ARTERY DISEASE" = "demographic"."diagnosis" AND "LONG TERM CARE HOSPITAL" = "demographic"."discharge_location" | 0.19043 |
CREATE TABLE table_name_16 (martin_mcguinness VARCHAR2, david_norris VARCHAR2)
| What is the Martin McGuinness with a David Norris that is 10.3%? | SELECT martin_mcguinness FROM table_name_16 WHERE david_norris = "10.3%" | SELECT "martin_mcguinness" FROM "table_name_16" WHERE "10.3%" = "david_norris" | 0.076172 |
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)
| Give me the comparison about Team_ID over the All_Neutral by a bar chart, show from high to low by the All_Neutral please. | SELECT All_Neutral, Team_ID FROM basketball_match ORDER BY All_Neutral DESC | SELECT "All_Neutral", "Team_ID" FROM "basketball_match" ORDER BY "All_Neutral" DESC | 0.081055 |
CREATE TABLE table_1636 ("Period" CLOB, "% trains arriving within 5 mins of scheduled time ( over three months ) " CLOB, "Change over same quarter the previous year" CLOB, "% trains arriving within 5 mins of scheduled time Moving Annual Average ( MAA ) " CLOB, "Change over previous year as a whole" CLOB)
| What's the change over same quarter the previous year in the period when the 89.6% of the trains arrive within 5 minutes of scheduled time (over three months)? | SELECT "Change over same quarter the previous year" FROM table_1636 WHERE "% trains arriving within 5 mins of scheduled time (over three months)" = '89.6%' | SELECT "Change over same quarter the previous year" FROM "table_1636" WHERE "% trains arriving within 5 mins of scheduled time (over three months)" = '89.6%' | 0.15332 |
CREATE TABLE table_58025 ("Date" CLOB, "Track" CLOB, "Race" CLOB, "Distance" CLOB, "Surface track" CLOB, "Winning horse" CLOB, "Winning jockey" CLOB)
| What is the race with the track distance of 6 furlongs and spectacular bid stakes? | SELECT "Track" FROM table_58025 WHERE "Distance" = '6 furlongs' AND "Race" = 'spectacular bid stakes' | SELECT "Track" FROM "table_58025" WHERE "Distance" = '6 furlongs' AND "Race" = 'spectacular bid stakes' | 0.100586 |
CREATE TABLE table_4787 ("Year" FLOAT, "BB Pop" CLOB, "BB CW" CLOB, "BB EL" CLOB, "CB CW" CLOB, "RIAA" CLOB)
| What is the CB CW of the song which has a BB Pop of 11? | SELECT "CB CW" FROM table_4787 WHERE "BB Pop" = '11' | SELECT "CB CW" FROM "table_4787" WHERE "BB Pop" = '11' | 0.052734 |
CREATE TABLE table_7047 ("English country name" CLOB, "Arabic romanised country name" CLOB, "Arabic country name" CLOB, "English capital name" CLOB, "Arabic romanised capital name" CLOB, "Arabic capital name" CLOB)
| What is the English name of the country that has Ramallah as its capital? | SELECT "English country name" FROM table_7047 WHERE "English capital name" = 'ramallah' | SELECT "English country name" FROM "table_7047" WHERE "English capital name" = 'ramallah' | 0.086914 |
CREATE TABLE table_69993 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| Who is listed as the Visitor that has a Home of Boston Bruins and a Date of November 15? | SELECT "Visitor" FROM table_69993 WHERE "Home" = 'boston bruins' AND "Date" = 'november 15' | SELECT "Visitor" FROM "table_69993" WHERE "Date" = 'november 15' AND "Home" = 'boston bruins' | 0.09082 |
CREATE TABLE table_16830 ("Player" CLOB, "No." CLOB, "Nationality" CLOB, "Position" CLOB, "Years for Jazz" CLOB, "School/Club Team" CLOB)
| Name the position of Turkey | SELECT "Position" FROM table_16830 WHERE "Nationality" = 'Turkey' | SELECT "Position" FROM "table_16830" WHERE "Nationality" = 'Turkey' | 0.06543 |
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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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 CloseReasonTypes (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)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| I'm trying to find a specific answer. | SELECT Id AS "post_link" FROM Posts WHERE Score = -3 AND Body LIKE '%handle%xml%' AND PostTypeId = 2 ORDER BY Id DESC | SELECT "Id" AS "post_link" FROM "Posts" WHERE "Body" LIKE '%handle%xml%' AND "PostTypeId" = 2 AND "Score" = -3 ORDER BY "Id" DESC | 0.125977 |
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)
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)
| what is minimum age of patients whose discharge location is home health care and primary disease is overdose? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME HEALTH CARE" AND demographic.diagnosis = "OVERDOSE" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "HOME HEALTH CARE" = "demographic"."discharge_location" AND "OVERDOSE" = "demographic"."diagnosis" | 0.151367 |
CREATE TABLE table_62801 ("Pos." FLOAT, "Car #" FLOAT, "Driver" CLOB, "Make" CLOB, "Team" CLOB)
| Which Car # has a Team of hendrick motorsports, and a Driver of mark martin, and a Position larger than 4? | SELECT AVG("Car #") FROM table_62801 WHERE "Team" = 'hendrick motorsports' AND "Driver" = 'mark martin' AND "Pos." > '4' | SELECT AVG("Car #") FROM "table_62801" WHERE "Driver" = 'mark martin' AND "Pos." > '4' AND "Team" = 'hendrick motorsports' | 0.119141 |
CREATE TABLE table_58046 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the away team score at the Windy Hill venue? | SELECT "Away team score" FROM table_58046 WHERE "Venue" = 'windy hill' | SELECT "Away team score" FROM "table_58046" WHERE "Venue" = 'windy hill' | 0.070313 |
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
| Count those days and in which zip code was the min dew point lower than any day in zip code 94107 using a bar graph. | SELECT date, COUNT(date) FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) GROUP BY date | SELECT "date", COUNT("date") FROM "weather" WHERE "min_dew_point_f" < (SELECT MIN("min_dew_point_f") FROM "weather" WHERE "zip_code" = 94107) GROUP BY "date" | 0.15332 |
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
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)
| Plot the number of county by grouped by county as a bar graph, and I want to list in ascending by the bars. | SELECT County, COUNT(County) FROM appellations GROUP BY County ORDER BY County | SELECT "County", COUNT("County") FROM "appellations" GROUP BY "County" ORDER BY "County" | 0.085938 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| What are the names of the cheapest products in each category along with the cheapest price in a bar chart?, I want to show bars in desc order. | SELECT Name, MIN(Price) FROM Products GROUP BY Name ORDER BY Name DESC | SELECT "Name", MIN("Price") FROM "Products" GROUP BY "Name" ORDER BY "Name" DESC | 0.078125 |
CREATE TABLE table_dev_60 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "body_weight" FLOAT, "renal_disease" BOOLEAN, "allergy_to_aspirin" BOOLEAN, "creatinine_clearance_cl" FLOAT, "allergy_to_clopidogrel" BOOLEAN, "allergy_to_heparin" BOOLEAN, "platelet_count" FLOAT, "thrombocytopenia" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "allergy_to_fibrinolytics" BOOLEAN, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| body weight : [ 50 _ 110 ] kg | SELECT * FROM table_dev_60 WHERE body_weight >= 50 AND body_weight <= 110 | SELECT * FROM "table_dev_60" WHERE "body_weight" <= 110 AND "body_weight" >= 50 | 0.077148 |
CREATE TABLE manager_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes NUMBER)
CREATE TABLE all_star (player_id CLOB, year NUMBER, game_num NUMBER, game_id CLOB, team_id CLOB, league_id CLOB, gp NUMBER, starting_pos NUMBER)
CREATE TABLE manager (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER, plyr_mgr CLOB)
CREATE TABLE player (player_id CLOB, birth_year NUMBER, birth_month NUMBER, birth_day NUMBER, birth_country CLOB, birth_state CLOB, birth_city CLOB, death_year NUMBER, death_month NUMBER, death_day NUMBER, death_country CLOB, death_state CLOB, death_city CLOB, name_first CLOB, name_last CLOB, name_given CLOB, weight NUMBER, height NUMBER, bats CLOB, throws CLOB, debut CLOB, final_game CLOB, retro_id CLOB, bbref_id CLOB)
CREATE TABLE home_game (year NUMBER, league_id CLOB, team_id CLOB, park_id CLOB, span_first CLOB, span_last CLOB, games NUMBER, openings NUMBER, attendance NUMBER)
CREATE TABLE fielding_postseason (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, round CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, tp NUMBER, pb NUMBER, sb NUMBER, cs NUMBER)
CREATE TABLE pitching (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp NUMBER, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE fielding (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, pb NUMBER, wp NUMBER, sb NUMBER, cs NUMBER, zr NUMBER)
CREATE TABLE manager_half (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, half NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER)
CREATE TABLE postseason (year NUMBER, round CLOB, team_id_winner CLOB, league_id_winner CLOB, team_id_loser CLOB, league_id_loser CLOB, wins NUMBER, losses NUMBER, ties NUMBER)
CREATE TABLE hall_of_fame (player_id CLOB, yearid NUMBER, votedby CLOB, ballots NUMBER, needed NUMBER, votes NUMBER, inducted CLOB, category CLOB, needed_note CLOB)
CREATE TABLE player_college (player_id CLOB, college_id CLOB, year NUMBER)
CREATE TABLE team_half (year NUMBER, league_id CLOB, team_id CLOB, half NUMBER, div_id CLOB, div_win CLOB, rank NUMBER, g NUMBER, w NUMBER, l NUMBER)
CREATE TABLE fielding_outfield (player_id CLOB, year NUMBER, stint NUMBER, glf NUMBER, gcf NUMBER, grf NUMBER)
CREATE TABLE park (park_id CLOB, park_name CLOB, park_alias CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE college (college_id CLOB, name_full CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE player_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE appearances (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, g_all NUMBER, gs NUMBER, g_batting NUMBER, g_defense NUMBER, g_p NUMBER, g_c NUMBER, g_1b NUMBER, g_2b NUMBER, g_3b NUMBER, g_ss NUMBER, g_lf NUMBER, g_cf NUMBER, g_rf NUMBER, g_of NUMBER, g_dh NUMBER, g_ph NUMBER, g_pr NUMBER)
CREATE TABLE salary (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, salary NUMBER)
CREATE TABLE pitching_postseason (player_id CLOB, year NUMBER, round CLOB, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp CLOB, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE batting_postseason (year NUMBER, round CLOB, player_id CLOB, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE batting (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE player_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes CLOB)
CREATE TABLE team_franchise (franchise_id CLOB, franchise_name CLOB, active CLOB, na_assoc CLOB)
CREATE TABLE team (year NUMBER, league_id CLOB, team_id CLOB, franchise_id CLOB, div_id CLOB, rank NUMBER, g NUMBER, ghome NUMBER, w NUMBER, l NUMBER, div_win CLOB, wc_win CLOB, lg_win CLOB, ws_win CLOB, r NUMBER, ab NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, bb NUMBER, so NUMBER, sb NUMBER, cs NUMBER, hbp NUMBER, sf NUMBER, ra NUMBER, er NUMBER, era NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, ha NUMBER, hra NUMBER, bba NUMBER, soa NUMBER, e NUMBER, dp NUMBER, fp NUMBER, name CLOB, park CLOB, attendance NUMBER, bpf NUMBER, ppf NUMBER, team_id_br CLOB, team_id_lahman45 CLOB, team_id_retro CLOB)
CREATE TABLE manager_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
| Return a line chart on how many players enter hall of fame each year?, display by the X-axis in asc. | SELECT yearid, COUNT(*) FROM hall_of_fame GROUP BY yearid ORDER BY yearid | SELECT "yearid", COUNT(*) FROM "hall_of_fame" GROUP BY "yearid" ORDER BY "yearid" | 0.079102 |
CREATE TABLE table_name_24 (away_team VARCHAR2, venue VARCHAR2)
| What is the away team that played at punt road oval? | SELECT away_team FROM table_name_24 WHERE venue = "punt road oval" | SELECT "away_team" FROM "table_name_24" WHERE "punt road oval" = "venue" | 0.070313 |
CREATE TABLE table_25947046_1 (arabs VARCHAR2, annual_population_growth_rate VARCHAR2)
| What is the arabs when the annual population growth rate is 1.7%? | SELECT arabs FROM table_25947046_1 WHERE annual_population_growth_rate = "1.7%" | SELECT "arabs" FROM "table_25947046_1" WHERE "1.7%" = "annual_population_growth_rate" | 0.083008 |
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)
| what is the number of patients whose year of birth is less than 2104 and drug type is additive? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2104" AND prescriptions.drug_type = "ADDITIVE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2104" > "demographic"."dob_year" | 0.223633 |
CREATE TABLE table_14249278_1 (bits_14_12 NUMBER, description VARCHAR2)
| Name the most bits 14-12 for output from accumulator to character bus | SELECT MIN(bits_14_12) FROM table_14249278_1 WHERE description = "Output from accumulator to character bus" | SELECT MIN("bits_14_12") FROM "table_14249278_1" WHERE "Output from accumulator to character bus" = "description" | 0.110352 |
CREATE TABLE table_203_612 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many nations have at least 20 gold medals ? | SELECT COUNT("nation") FROM table_203_612 WHERE "gold" >= 20 | SELECT COUNT("nation") FROM "table_203_612" WHERE "gold" >= 20 | 0.060547 |
CREATE TABLE table_56502 ("Wind farm" CLOB, "Capacity ( MW ) " FLOAT, "Country" CLOB, "State/Province" CLOB, "Notes" CLOB)
| What is the total capacity (MW) of the windfarm located in the state/province of Gansu? | SELECT SUM("Capacity (MW)") FROM table_56502 WHERE "State/Province" = 'gansu' | SELECT SUM("Capacity (MW)") FROM "table_56502" WHERE "State/Province" = 'gansu' | 0.077148 |
CREATE TABLE table_name_39 (jockey VARCHAR2, trainer VARCHAR2, odds VARCHAR2)
| Who is the Jockey that has Nick Zito as Trainer and Odds of 34-1? | SELECT jockey FROM table_name_39 WHERE trainer = "nick zito" AND odds = "34-1" | SELECT "jockey" FROM "table_name_39" WHERE "34-1" = "odds" AND "nick zito" = "trainer" | 0.083984 |
CREATE TABLE table_name_8 (total VARCHAR2, to_par VARCHAR2)
| What is the Total of the Player with a To par of 4? | SELECT COUNT(total) FROM table_name_8 WHERE to_par = 4 | SELECT COUNT("total") FROM "table_name_8" WHERE "to_par" = 4 | 0.058594 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 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 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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
| Filter Questions by a Single Tag. | SELECT P.Id AS "post_link", P.AnswerCount, P.Tags FROM Posts AS P, PostTags AS Pt, Tags AS T WHERE P.Id = Pt.PostId AND T.Id = Pt.TagId AND T.TagName = '##tag1##' AND P.PostTypeId = 1 AND (SELECT COUNT(Pt.TagId) FROM PostTags AS Pt WHERE Pt.PostId = P.Id) = 1 | WITH "_u_0" AS (SELECT COUNT("Pt"."TagId"), "Pt"."PostId" AS "_u_1" FROM "PostTags" "Pt" GROUP BY "Pt"."PostId") SELECT "P"."Id" AS "post_link", "P"."AnswerCount", "P"."Tags" FROM "Posts" "P" JOIN "PostTags" "Pt" ON "P"."Id" = "Pt"."PostId" LEFT JOIN "_u_0" "_u_0" ON "P"."Id" = "_u_0"."_u_1" JOIN "Tags" "T" ON "Pt"."TagId" = "T"."Id" AND "T"."TagName" = '##tag1##' WHERE "P"."PostTypeId" = 1 AND COALESCE("_u_0"."", "Pt"."TagId") = 1 | 0.424805 |
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)
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| find the number of newborn hospital admission patients who have lab test item id 50805. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "NEWBORN" AND lab.itemid = "50805" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50805" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type" | 0.197266 |
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 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 the number of patients whose diagnosis icd9 code is 30390 and with pb drug route? | 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 = "30390" AND prescriptions.route = "PB" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "30390" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "PB" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.27832 |
CREATE TABLE table_name_57 (network VARCHAR2, studio_host VARCHAR2)
| Which network had the host of john wells? | SELECT network FROM table_name_57 WHERE studio_host = "john wells" | SELECT "network" FROM "table_name_57" WHERE "john wells" = "studio_host" | 0.070313 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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)
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 program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| Who 's the professor for next semester 's UC 176 ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN course ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'UC' AND course.number = 176 AND semester.semester = 'FA' AND semester.year = 2016 | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "course" ON "course"."course_id" = "course_offering"."course_id" AND "course"."department" = 'UC' AND "course"."number" = 176 JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 | 0.503906 |
CREATE TABLE Player (weight NUMBER)
| What is the average weight of all players? | SELECT AVG(weight) FROM Player | SELECT AVG("weight") FROM "Player" | 0.033203 |
CREATE TABLE table_11381701_3 (source VARCHAR2, blackberry VARCHAR2)
| Which source shows Blackberry at 2.9%? | SELECT source FROM table_11381701_3 WHERE blackberry = "2.9%" | SELECT "source" FROM "table_11381701_3" WHERE "2.9%" = "blackberry" | 0.06543 |
CREATE TABLE participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE activity (actid NUMBER, activity_name CLOB)
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE faculty_participates_in (facid NUMBER, actid NUMBER)
| What are ids of the faculty members who not only participate in an activity but also advise a student. | SELECT facid FROM faculty_participates_in INTERSECT SELECT advisor FROM student | SELECT "facid" FROM "faculty_participates_in" INTERSECT SELECT "advisor" FROM "student" | 0.084961 |
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 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)
| count the number of patients whose age is less than 81 and drug code is prismab32k25000? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "81" AND prescriptions.formulary_drug_cd = "PRISMAB32K25000" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PRISMAB32K25000" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "81" > "demographic"."age" | 0.231445 |
CREATE TABLE table_name_26 (result VARCHAR2, date VARCHAR2)
| What is Result, when Date is 11 August 1992? | SELECT result FROM table_name_26 WHERE date = "11 august 1992" | SELECT "result" FROM "table_name_26" WHERE "11 august 1992" = "date" | 0.066406 |
CREATE TABLE table_74246 ("\\u2116" FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( millions ) " CLOB)
| What is the season 4 # for the production code of 4abb07? | SELECT "#" FROM table_74246 WHERE "Production code" = '4ABB07' | SELECT "#" FROM "table_74246" WHERE "Production code" = '4ABB07' | 0.0625 |
CREATE TABLE table_39446 ("Rank" FLOAT, "Country" CLOB, "Wins ( Outdoor ) " FLOAT, "Wins ( Indoor ) " FLOAT, "Wins ( Total ) " FLOAT)
| Name the most wins total with wins indoor of 0 and wins outdoor of 1 with rank less than 7 | SELECT MAX("Wins (Total)") FROM table_39446 WHERE "Wins (Indoor)" = '0' AND "Wins (Outdoor)" = '1' AND "Rank" < '7' | SELECT MAX("Wins (Total)") FROM "table_39446" WHERE "Rank" < '7' AND "Wins (Indoor)" = '0' AND "Wins (Outdoor)" = '1' | 0.114258 |
CREATE TABLE table_name_5 (decision VARCHAR2, series VARCHAR2, visitor VARCHAR2, score VARCHAR2)
| Which Decision has a Visitor of calgary, a Score of 2 1, and a Series of 4 3? | SELECT decision FROM table_name_5 WHERE visitor = "calgary" AND score = "2 – 1" AND series = "4 – 3" | SELECT "decision" FROM "table_name_5" WHERE "2 – 1" = "score" AND "4 – 3" = "series" AND "calgary" = "visitor" | 0.107422 |
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)
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 patients whose admission year is less than 2158 and diagnoses long title is unspecified pleural effusion? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2158" AND diagnoses.long_title = "Unspecified pleural effusion" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified pleural effusion" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2158" > "demographic"."admityear" | 0.233398 |
CREATE TABLE table_19727 ("Name" CLOB, "Years" CLOB, "League" CLOB, "FA Cup" CLOB, "League Cup" CLOB, "Europe" CLOB, "Other a" CLOB, "Total" CLOB)
| what is the Europe number for the league cup of 36 (0)? | SELECT "Europe" FROM table_19727 WHERE "League Cup" = '36 (0)' | SELECT "Europe" FROM "table_19727" WHERE "League Cup" = '36 (0)' | 0.0625 |
CREATE TABLE table_11622392_1 (date VARCHAR2, location VARCHAR2)
| When was the tournament in Washington held? | SELECT date FROM table_11622392_1 WHERE location = "Washington" | SELECT "date" FROM "table_11622392_1" WHERE "Washington" = "location" | 0.067383 |
CREATE TABLE table_15119 ("Year" FLOAT, "Division I" CLOB, "Division II" CLOB, "Division III" CLOB, "Division IV" CLOB, "Division V" CLOB)
| What Division III has Bishop Brady in Division V and Hanover in Division IV? | SELECT "Division III" FROM table_15119 WHERE "Division V" = 'bishop brady' AND "Division IV" = 'hanover' | SELECT "Division III" FROM "table_15119" WHERE "Division IV" = 'hanover' AND "Division V" = 'bishop brady' | 0.103516 |
CREATE TABLE table_61670 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What Player has a Country of west germany? | SELECT "Player" FROM table_61670 WHERE "Country" = 'west germany' | SELECT "Player" FROM "table_61670" WHERE "Country" = 'west germany' | 0.06543 |
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)
| Give me the comparison about School_ID over the ACC_Road , and group by attribute All_Home, 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_31758 ("Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which country has the highest bronze amount and a silver amount bigger than 41? | SELECT MAX("Bronze") FROM table_31758 WHERE "Silver" > '41' | SELECT MAX("Bronze") FROM "table_31758" WHERE "Silver" > '41' | 0.05957 |
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