schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE table_16238 ("Province" CLOB, "Population ( 2004 estimate ) " FLOAT, "Area ( km\\u00b2 ) " FLOAT, "Density" CLOB, "GDP ( 2003 , PPS in mil. \\u20ac ) " FLOAT, "GDP per cap. ( 2003 , in \\u20ac ) " FLOAT)
| What is Friesland's gdp per capita? | SELECT MIN("GDP per cap. (2003, in \u20ac)") FROM table_16238 WHERE "Province" = 'Friesland' | SELECT MIN("GDP per cap. (2003, in \u20ac)") FROM "table_16238" WHERE "Province" = 'Friesland' | 0.091797 |
CREATE TABLE table_59420 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" FLOAT, "To par" CLOB)
| What is the score for Nick Faldo? | SELECT "Score" FROM table_59420 WHERE "Player" = 'nick faldo' | SELECT "Score" FROM "table_59420" WHERE "Player" = 'nick faldo' | 0.061523 |
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)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide the number of patients whose lab test name is mesothelial cells? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Mesothelial cells" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Mesothelial cells" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.160156 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| count the number of patients who had a coronar arteriogr-2 cath procedure performed within 2 months after being diagnosed with pericardial disease nos. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'pericardial disease nos')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'coronar arteriogr-2 cath')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'coronar arteriogr-2 cath' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'pericardial disease nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime") | 0.869141 |
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)
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)
| provide the number of patients whose primary disease is congestive heart failure and days of hospital stay is greater than 13? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CONGESTIVE HEART FAILURE" AND demographic.days_stay > "13" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "13" < "demographic"."days_stay" AND "CONGESTIVE HEART FAILURE" = "demographic"."diagnosis" | 0.162109 |
CREATE TABLE journal (homepage VARCHAR2, jid NUMBER, name VARCHAR2)
CREATE TABLE domain_author (aid NUMBER, did NUMBER)
CREATE TABLE domain_publication (did NUMBER, pid NUMBER)
CREATE TABLE publication (abstract VARCHAR2, cid NUMBER, citation_num NUMBER, jid NUMBER, pid NUMBER, reference_num NUMBER, title VARCHAR2, year NUMBER)
CREATE TABLE conference (cid NUMBER, homepage VARCHAR2, name VARCHAR2)
CREATE TABLE domain_conference (cid NUMBER, did NUMBER)
CREATE TABLE publication_keyword (kid NUMBER, pid NUMBER)
CREATE TABLE writes (aid NUMBER, pid NUMBER)
CREATE TABLE author (aid NUMBER, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_keyword (did NUMBER, kid NUMBER)
CREATE TABLE domain (did NUMBER, name VARCHAR2)
CREATE TABLE domain_journal (did NUMBER, jid NUMBER)
CREATE TABLE keyword (keyword VARCHAR2, kid NUMBER)
CREATE TABLE cite (cited NUMBER, citing NUMBER)
CREATE TABLE organization (continent VARCHAR2, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
| return me the number of papers in PVLDB in ' University of Michigan ' . | SELECT COUNT(DISTINCT (publication.title)) FROM author, journal, organization, publication, writes WHERE journal.name = 'PVLDB' AND organization.name = 'University of Michigan' AND organization.oid = author.oid AND publication.jid = journal.jid AND writes.aid = author.aid AND writes.pid = publication.pid | SELECT COUNT(DISTINCT "publication"."title") FROM "author" JOIN "journal" ON "journal"."name" = 'PVLDB' JOIN "organization" ON "author"."oid" = "organization"."oid" AND "organization"."name" = 'University of Michigan' JOIN "publication" ON "journal"."jid" = "publication"."jid" JOIN "writes" ON "author"."aid" = "writes"."aid" AND "publication"."pid" = "writes"."pid" | 0.358398 |
CREATE TABLE table_name_22 (skip VARCHAR2, lead VARCHAR2)
| Which Skip did marju velga lead? | SELECT skip FROM table_name_22 WHERE lead = "marju velga" | SELECT "skip" FROM "table_name_22" WHERE "lead" = "marju velga" | 0.061523 |
CREATE TABLE table_56304 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| What was the date of the Mariners game that had an attendance of 6,707? | SELECT "Date" FROM table_56304 WHERE "Attendance" = '6,707' | SELECT "Date" FROM "table_56304" WHERE "Attendance" = '6,707' | 0.05957 |
CREATE TABLE table_204_813 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| how many times did the competitor finish first in the javelin throw ? | SELECT COUNT(*) FROM table_204_813 WHERE "position" = 1 | SELECT COUNT(*) FROM "table_204_813" WHERE "position" = 1 | 0.055664 |
CREATE TABLE table_45184 ("Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" CLOB, "Competition" CLOB, "Man of the Match" CLOB)
| Which venue had a lost 5-4 result? | SELECT "Venue" FROM table_45184 WHERE "Result" = 'lost 5-4' | SELECT "Venue" FROM "table_45184" WHERE "Result" = 'lost 5-4' | 0.05957 |
CREATE TABLE job_history (employee_id NUMBER, start_date TIME, end_date TIME, job_id CLOB, department_id NUMBER)
CREATE TABLE locations (location_id NUMBER, street_address CLOB, postal_code CLOB, city CLOB, state_province CLOB, country_id CLOB)
CREATE TABLE departments (department_id NUMBER, department_name CLOB, manager_id NUMBER, location_id NUMBER)
CREATE TABLE employees (employee_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, phone_number CLOB, hire_date TIME, job_id CLOB, salary NUMBER, commission_pct NUMBER, manager_id NUMBER, department_id NUMBER)
CREATE TABLE regions (region_id NUMBER, region_name CLOB)
CREATE TABLE jobs (job_id CLOB, job_title CLOB, min_salary NUMBER, max_salary NUMBER)
CREATE TABLE countries (country_id CLOB, country_name CLOB, region_id NUMBER)
| What is all the information about employees who have never had a job in the past? | SELECT * FROM employees WHERE NOT employee_id IN (SELECT employee_id FROM job_history) | SELECT * FROM "employees" WHERE NOT "employee_id" IN (SELECT "employee_id" FROM "job_history") | 0.091797 |
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
| who does chasins work with ? | SELECT DISTINCT AUTHOR_1.authorid FROM author AS AUTHOR_0, author AS AUTHOR_1, writes AS WRITES_0, writes AS WRITES_1 WHERE AUTHOR_0.authorname = 'chasins' AND WRITES_0.authorid = AUTHOR_0.authorid AND WRITES_1.authorid = AUTHOR_1.authorid AND WRITES_1.paperid = WRITES_0.paperid | SELECT DISTINCT "AUTHOR_1"."authorid" FROM "author" "AUTHOR_0" JOIN "writes" "WRITES_0" ON "AUTHOR_0"."authorid" = "WRITES_0"."authorid" JOIN "writes" "WRITES_1" ON "WRITES_0"."paperid" = "WRITES_1"."paperid" JOIN "author" "AUTHOR_1" ON "AUTHOR_1"."authorid" = "WRITES_1"."authorid" WHERE "AUTHOR_0"."authorname" = 'chasins' | 0.316406 |
CREATE TABLE university (founded VARCHAR2, enrollment VARCHAR2)
| When was the school with the largest enrollment founded? | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 | SELECT "founded" FROM "university" ORDER BY "enrollment" DESC FETCH FIRST 1 ROWS ONLY | 0.083008 |
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)
| what is primary disease and diagnoses icd9 code of subject id 990? | SELECT demographic.diagnosis, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "990" | SELECT "demographic"."diagnosis", "diagnoses"."icd9_code" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "990" = "demographic"."subject_id" | 0.180664 |
CREATE TABLE member (member_id NUMBER, member_name CLOB, party_id CLOB, in_office CLOB)
CREATE TABLE party_events (event_id NUMBER, event_name CLOB, party_id NUMBER, member_in_charge_id NUMBER)
CREATE TABLE region (region_id NUMBER, region_name CLOB, date CLOB, label CLOB, format CLOB, catalogue CLOB)
CREATE TABLE party (party_id NUMBER, minister CLOB, took_office CLOB, left_office CLOB, region_id NUMBER, party_name CLOB)
| Show the member names which are in both the party with id 3 and the party with id 1. | SELECT member_name FROM member WHERE party_id = 3 INTERSECT SELECT member_name FROM member WHERE party_id = 1 | SELECT "member_name" FROM "member" WHERE "party_id" = 3 INTERSECT SELECT "member_name" FROM "member" WHERE "party_id" = 1 | 0.118164 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose death status is 1 and year of birth is less than 2090? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.dob_year < "2090" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "2090" > "demographic"."dob_year" | 0.142578 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients below 71 years of age have delta lab test abnormal status? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "71" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "71" > "demographic"."age" | 0.179688 |
CREATE TABLE table_204_554 (id NUMBER, "rank" NUMBER, "name" CLOB, "nation" CLOB, "time" CLOB, "speed" NUMBER, "note" CLOB)
| which country had more athletes , belarus or lithuania ? | SELECT "nation" FROM table_204_554 WHERE "nation" IN ('belarus', 'lithuania') GROUP BY "nation" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "nation" FROM "table_204_554" WHERE "nation" IN ('belarus', 'lithuania') GROUP BY "nation" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.140625 |
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what was the first ward id that patient 030-6441 went since 2 years ago? | SELECT patient.wardid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-6441') AND DATETIME(patient.unitadmittime) >= DATETIME(CURRENT_TIME(), '-2 year') ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-6441' GROUP BY "patienthealthsystemstayid") SELECT "patient"."wardid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("patient"."unitadmittime") >= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_0"."" IS NULL ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY | 0.427734 |
CREATE TABLE table_13430 ("Non-dictatorship" CLOB, "Pareto efficiency" CLOB, "Majority" CLOB, "Monotone" CLOB, "Consistency & Participation" CLOB, "Condorcet" CLOB, "Condorcet loser" CLOB, "Clone independence" CLOB, "Reversal symmetry" CLOB)
| what is the consistency & participation when pareto efficiency is yes and condorcet is no? | SELECT "Consistency & Participation" FROM table_13430 WHERE "Pareto efficiency" = 'yes' AND "Condorcet" = 'no' | SELECT "Consistency & Participation" FROM "table_13430" WHERE "Condorcet" = 'no' AND "Pareto efficiency" = 'yes' | 0.109375 |
CREATE TABLE table_204_774 (id NUMBER, "#" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| what opponent is listed in the top of the table ? | SELECT "opponent" FROM table_204_774 WHERE id = 1 | SELECT "opponent" FROM "table_204_774" WHERE "id" = 1 | 0.051758 |
CREATE TABLE Teachers (teacher_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, gender VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Assessment_Notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes DATETIME, text_of_notes VARCHAR2, other_details VARCHAR2)
CREATE TABLE Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Students (student_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR2)
CREATE TABLE Behavior_Incident (incident_id NUMBER, incident_type_code VARCHAR2, student_id NUMBER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR2, recommendations VARCHAR2, other_details VARCHAR2)
CREATE TABLE Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, line_3 VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Detention (detention_id NUMBER, detention_type_code VARCHAR2, teacher_id NUMBER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_type_description VARCHAR2)
| Find the number of the dates of assessment notes for students with first name 'Fanny', I want to list by the how many date of notes in ascending. | SELECT date_of_notes, COUNT(date_of_notes) FROM Assessment_Notes AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id WHERE T2.first_name = "Fanny" ORDER BY COUNT(date_of_notes) | SELECT "date_of_notes", COUNT("date_of_notes") FROM "Assessment_Notes" "T1" JOIN "Students" "T2" ON "Fanny" = "T2"."first_name" AND "T1"."student_id" = "T2"."student_id" ORDER BY COUNT("date_of_notes") | 0.196289 |
CREATE TABLE table_7616 ("Kansas State vs." CLOB, "Games played" CLOB, "Overall Record" CLOB, "Last 5 Meetings" CLOB, "Last 10 Meetings" CLOB, "Current Streak" CLOB, "Last Meeting" CLOB)
| What kansas vs. that has w 2 as the current streak, and 31 as games played? | SELECT "Kansas State vs." FROM table_7616 WHERE "Current Streak" = 'w 2' AND "Games played" = '31' | SELECT "Kansas State vs." FROM "table_7616" WHERE "Current Streak" = 'w 2' AND "Games played" = '31' | 0.097656 |
CREATE TABLE table_name_11 (home_team VARCHAR2, venue VARCHAR2)
| What team has theoir home games in the venue of gold coast convention centre? | SELECT home_team FROM table_name_11 WHERE venue = "gold coast convention centre" | SELECT "home_team" FROM "table_name_11" WHERE "gold coast convention centre" = "venue" | 0.083984 |
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)
| Visualize a pie chart about the proportion of ACC_Regular_Season and School_ID. | SELECT ACC_Regular_Season, School_ID FROM basketball_match | SELECT "ACC_Regular_Season", "School_ID" FROM "basketball_match" | 0.0625 |
CREATE TABLE table_name_40 (car__number NUMBER, sponsor VARCHAR2)
| What is the highest car number sponsored by Post-It / National Guard? | SELECT MAX(car__number) FROM table_name_40 WHERE sponsor = "post-it / national guard" | SELECT MAX("car__number") FROM "table_name_40" WHERE "post-it / national guard" = "sponsor" | 0.088867 |
CREATE TABLE table_73170 ("Season" FLOAT, "Class" CLOB, "Team" CLOB, "Motorcycle" CLOB, "Type" CLOB, "Races" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Poles" FLOAT, "Fastest Laps" FLOAT, "Pts" FLOAT, "Position" CLOB)
| How many fastest laps did I.C. Team have? | SELECT COUNT("Fastest Laps") FROM table_73170 WHERE "Team" = 'I.C. Team' | SELECT COUNT("Fastest Laps") FROM "table_73170" WHERE "Team" = 'I.C. Team' | 0.072266 |
CREATE TABLE table_name_68 (gold NUMBER, total VARCHAR2, bronze VARCHAR2)
| Which Gold has a Total of 2998, and a Bronze smaller than 1191? | SELECT AVG(gold) FROM table_name_68 WHERE total = 2998 AND bronze < 1191 | SELECT AVG("gold") FROM "table_name_68" WHERE "bronze" < 1191 AND "total" = 2998 | 0.078125 |
CREATE TABLE table_name_4 (player VARCHAR2, round VARCHAR2)
| Which player had a round of 27? | SELECT player FROM table_name_4 WHERE round = 27 | SELECT "player" FROM "table_name_4" WHERE "round" = 27 | 0.052734 |
CREATE TABLE table_203_603 (id NUMBER, "service" CLOB, "service id" CLOB, "bit rate" CLOB, "audio channels" CLOB, "description" CLOB, "analogue availability" CLOB)
| how many stations are at least 128 kbit/s ? | SELECT COUNT("service") FROM table_203_603 WHERE "bit rate" >= 128 | SELECT COUNT("service") FROM "table_203_603" WHERE "bit rate" >= 128 | 0.066406 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose gender is f and discharge location is disc-tran cancer/chldrn h? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "DISC-TRAN CANCER/CHLDRN H" = "demographic"."discharge_location" AND "F" = "demographic"."gender" | 0.167969 |
CREATE TABLE table_65256 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| what is the score on 24 january 1976 with the tie no of 1? | SELECT "Score" FROM table_65256 WHERE "Date" = '24 january 1976' AND "Tie no" = '1' | SELECT "Score" FROM "table_65256" WHERE "Date" = '24 january 1976' AND "Tie no" = '1' | 0.083008 |
CREATE TABLE table_name_73 (result VARCHAR2, rank VARCHAR2)
| What was the result of rank 1? | SELECT result FROM table_name_73 WHERE rank = 1 | SELECT "result" FROM "table_name_73" WHERE "rank" = 1 | 0.051758 |
CREATE TABLE table_11623 ("State" CLOB, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
| What is the highest evening gown number in North Carolina with less than 9.214 interviews? | SELECT MAX("Evening Gown") FROM table_11623 WHERE "State" = 'north carolina' AND "Interview" < '9.214' | SELECT MAX("Evening Gown") FROM "table_11623" WHERE "Interview" < '9.214' AND "State" = 'north carolina' | 0.101563 |
CREATE TABLE table_name_95 (opponent VARCHAR2, year VARCHAR2, yards VARCHAR2, average VARCHAR2)
| Which Opponent has Yards smaller than 197, and an Average smaller than 32, and a Year of 1966? | SELECT opponent FROM table_name_95 WHERE yards < 197 AND average < 32 AND year = 1966 | SELECT "opponent" FROM "table_name_95" WHERE "average" < 32 AND "yards" < 197 AND "year" = 1966 | 0.092773 |
CREATE TABLE table_name_96 (points NUMBER, against NUMBER)
| What is the sum of the points of all teams that had against scores less than 14? | SELECT SUM(points) FROM table_name_96 WHERE against < 14 | SELECT SUM("points") FROM "table_name_96" WHERE "against" < 14 | 0.060547 |
CREATE TABLE table_79060 ("Player" CLOB, "Round" FLOAT, "Pick" FLOAT, "Position" CLOB, "NFL Club" CLOB)
| What lowest round has orlando pace as the player? | SELECT MIN("Round") FROM table_79060 WHERE "Player" = 'orlando pace' | SELECT MIN("Round") FROM "table_79060" WHERE "Player" = 'orlando pace' | 0.068359 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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)
| Good question vs includes code. | SELECT MAX(CreationDate) FROM Posts | SELECT MAX("CreationDate") FROM "Posts" | 0.038086 |
CREATE TABLE table_name_57 (location___state VARCHAR2, winner VARCHAR2)
| The winner, Craig Lowndes, was in what location/state? | SELECT location___state FROM table_name_57 WHERE winner = "craig lowndes" | SELECT "location___state" FROM "table_name_57" WHERE "craig lowndes" = "winner" | 0.077148 |
CREATE TABLE table_14058433_4 (drawn VARCHAR2, points_for VARCHAR2)
| what's the drawn with points for being 350 | SELECT drawn FROM table_14058433_4 WHERE points_for = "350" | SELECT "drawn" FROM "table_14058433_4" WHERE "350" = "points_for" | 0.063477 |
CREATE TABLE table_1844 ("Date ( s ) " CLOB, "Venue" CLOB, "City , state" CLOB, "Ticket price ( s ) " CLOB, "Ticket sold / available" CLOB, "Ticket grossing" CLOB)
| What venue is in Wantagh, New York? | SELECT "Venue" FROM table_1844 WHERE "City, state" = 'Wantagh, New York' | SELECT "Venue" FROM "table_1844" WHERE "City, state" = 'Wantagh, New York' | 0.072266 |
CREATE TABLE table_32983 ("Chapter" CLOB, "Colonized" CLOB, "Chartered" CLOB, "School" CLOB, "State" CLOB, "Status" CLOB, "Charter Range" CLOB)
| When was shippensburg university Colonized? | SELECT "Colonized" FROM table_32983 WHERE "School" = 'shippensburg university' | SELECT "Colonized" FROM "table_32983" WHERE "School" = 'shippensburg university' | 0.078125 |
CREATE TABLE table_name_27 (poles NUMBER, drivers VARCHAR2, flaps VARCHAR2)
| How many Poles have Drivers of juan cruz lvarez, and FLaps larger than 0? | SELECT SUM(poles) FROM table_name_27 WHERE drivers = "juan cruz álvarez" AND flaps > 0 | SELECT SUM("poles") FROM "table_name_27" WHERE "drivers" = "juan cruz álvarez" AND "flaps" > 0 | 0.091797 |
CREATE TABLE table_name_24 (series_number VARCHAR2, dvd_region_1_release_date VARCHAR2, original_air_date VARCHAR2, number_of_episodes VARCHAR2)
| How many series originally aired before 1999 with more than 7 episodes and a DVD Region 1 release date of 16 april 2013? | SELECT COUNT(series_number) FROM table_name_24 WHERE original_air_date < 1999 AND number_of_episodes > 7 AND dvd_region_1_release_date = "16 april 2013" | SELECT COUNT("series_number") FROM "table_name_24" WHERE "16 april 2013" = "dvd_region_1_release_date" AND "number_of_episodes" > 7 AND "original_air_date" < 1999 | 0.158203 |
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)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the average of department_id bin hire_date by time. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.087891 |
CREATE TABLE table_5076 ("Game" FLOAT, "October" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| Opponent of @ atlanta flames had what game? | SELECT "Game" FROM table_5076 WHERE "Opponent" = '@ atlanta flames' | SELECT "Game" FROM "table_5076" WHERE "Opponent" = '@ atlanta flames' | 0.067383 |
CREATE TABLE table_name_36 (away_team VARCHAR2, home_team VARCHAR2)
| Who was the away team during the game when the home team was the new zealand breakers? | SELECT away_team FROM table_name_36 WHERE home_team = "new zealand breakers" | SELECT "away_team" FROM "table_name_36" WHERE "home_team" = "new zealand breakers" | 0.080078 |
CREATE TABLE table_name_98 (live___studio VARCHAR2, year NUMBER)
| Is it live or studio before 1983? | SELECT live___studio FROM table_name_98 WHERE year < 1983 | SELECT "live___studio" FROM "table_name_98" WHERE "year" < 1983 | 0.061523 |
CREATE TABLE table_name_55 (round NUMBER, college VARCHAR2, overall VARCHAR2)
| WHAT IS THE ROUND FROM MICHIGAN COLLEGE, AND OVERALL LARGER THAN 37? | SELECT SUM(round) FROM table_name_55 WHERE college = "michigan" AND overall > 37 | SELECT SUM("round") FROM "table_name_55" WHERE "college" = "michigan" AND "overall" > 37 | 0.085938 |
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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is minimum age of patients whose marital status is divorced and primary disease is brain mass;intracranial hemorrhage? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "BRAIN MASS;INTRACRANIAL HEMORRHAGE" = "demographic"."diagnosis" AND "DIVORCED" = "demographic"."marital_status" | 0.165039 |
CREATE TABLE table_20760802_1 (drawn VARCHAR2, points_against VARCHAR2)
| How may drawn equal points against at 129? | SELECT drawn FROM table_20760802_1 WHERE points_against = "129" | SELECT "drawn" FROM "table_20760802_1" WHERE "129" = "points_against" | 0.067383 |
CREATE TABLE table_41410 ("Name" CLOB, "Status" CLOB, "Authors" CLOB, "Location" CLOB, "Notes" CLOB)
| Where has a Name of zhongornis? | SELECT "Location" FROM table_41410 WHERE "Name" = 'zhongornis' | SELECT "Location" FROM "table_41410" WHERE "Name" = 'zhongornis' | 0.0625 |
CREATE TABLE table_66710 ("2005" FLOAT, "2006" FLOAT, "2007" FLOAT, "2008" FLOAT, "2009" FLOAT, "2010" FLOAT, "Total" FLOAT, "Average annual" FLOAT)
| What is the average value for 2005, when the value for 2008 is greater than 0, when the value for 2007 is greater than 310, when the Average annual is 767, and when the Total is greater than 4,597? | SELECT AVG("2005") FROM table_66710 WHERE "2008" > '0' AND "2007" > '310' AND "Average annual" = '767' AND "Total" > '4,597' | SELECT AVG("2005") FROM "table_66710" WHERE "2007" > '310' AND "2008" > '0' AND "Average annual" = '767' AND "Total" > '4,597' | 0.123047 |
CREATE TABLE table_25226 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the location attendance for score being l 83 118 (ot) | SELECT "Location Attendance" FROM table_25226 WHERE "Score" = 'L 83–118 (OT)' | SELECT "Location Attendance" FROM "table_25226" WHERE "Score" = 'L 83–118 (OT)' | 0.077148 |
CREATE TABLE table_11622771_1 (location VARCHAR2, tournament VARCHAR2)
| Where was the Fairfield Barnett classic tournament held? | SELECT location FROM table_11622771_1 WHERE tournament = "Fairfield Barnett Classic" | SELECT "location" FROM "table_11622771_1" WHERE "Fairfield Barnett Classic" = "tournament" | 0.087891 |
CREATE TABLE table_name_50 (overall_rank VARCHAR2, swimmer VARCHAR2)
| Tell me the overall rank for roland schoeman | SELECT overall_rank FROM table_name_50 WHERE swimmer = "roland schoeman" | SELECT "overall_rank" FROM "table_name_50" WHERE "roland schoeman" = "swimmer" | 0.076172 |
CREATE TABLE table_train_172 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "c_peptide_level" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "peak_stimulated_c_peptide" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "mixed_meal_tolerance_test_mmtt" BOOLEAN, "vitamin_d" NUMBER, "NOUSE" FLOAT)
| systolic blood pressure > 160 and diastolic blood pressure > 100 | SELECT * FROM table_train_172 WHERE systolic_blood_pressure_sbp > 160 AND diastolic_blood_pressure_dbp > 100 | SELECT * FROM "table_train_172" WHERE "diastolic_blood_pressure_dbp" > 100 AND "systolic_blood_pressure_sbp" > 160 | 0.111328 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what was the first height of patient 006-153198 in 10/last year. | SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-153198') AND NOT patient.admissionheight IS NULL AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', patient.unitadmittime) = '10' ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-153198' GROUP BY "patienthealthsystemstayid") SELECT "patient"."admissionheight" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("patient"."unitadmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND NOT "patient"."admissionheight" IS NULL AND STRFTIME('%m', "patient"."unitadmittime") = '10' ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY | 0.56543 |
CREATE TABLE table_38186 ("Game" CLOB, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Road Team" CLOB)
| what game was on may 29 | SELECT "Result" FROM table_38186 WHERE "Date" = 'may 29' | SELECT "Result" FROM "table_38186" WHERE "Date" = 'may 29' | 0.056641 |
CREATE TABLE table_name_38 (against NUMBER, club VARCHAR2, losses VARCHAR2, wins VARCHAR2)
| Which Against has Losses larger than 10, and Wins smaller than 4, and a Club of dunolly? | SELECT MIN(against) FROM table_name_38 WHERE losses > 10 AND wins < 4 AND club = "dunolly" | SELECT MIN("against") FROM "table_name_38" WHERE "club" = "dunolly" AND "losses" > 10 AND "wins" < 4 | 0.097656 |
CREATE TABLE table_19018191_5 (player VARCHAR2, l_apps VARCHAR2)
| Name the player for l apps is 27 | SELECT player FROM table_19018191_5 WHERE l_apps = 27 | SELECT "player" FROM "table_19018191_5" WHERE "l_apps" = 27 | 0.057617 |
CREATE TABLE table_name_69 (round NUMBER, school VARCHAR2, pick VARCHAR2)
| What was the highest round for Bowling Green with a pick smaller than 210? | SELECT MAX(round) FROM table_name_69 WHERE school = "bowling green" AND pick < 210 | SELECT MAX("round") FROM "table_name_69" WHERE "bowling green" = "school" AND "pick" < 210 | 0.087891 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many newborn patients stayed in the hospital for more than 20 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.days_stay > "20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "20" < "demographic"."days_stay" AND "NEWBORN" = "demographic"."admission_type" | 0.150391 |
CREATE TABLE table_1342256_33 (party VARCHAR2, first_elected VARCHAR2)
| How many partys have a candidate first elected in 1923? | SELECT COUNT(party) FROM table_1342256_33 WHERE first_elected = 1923 | SELECT COUNT("party") FROM "table_1342256_33" WHERE "first_elected" = 1923 | 0.072266 |
CREATE TABLE table_17976 ("Value" CLOB, "Diameter" CLOB, "Thickness" CLOB, "Mass" CLOB, "Composition" CLOB, "Edge" CLOB, "Obverse" CLOB, "Reverse" CLOB, "first minting" FLOAT, "issue" CLOB, "withdrawal" CLOB, "lapse" CLOB)
| When was the coin with the mass of 3.7 g first minted? | SELECT "first minting" FROM table_17976 WHERE "Mass" = '3.7 g' | SELECT "first minting" FROM "table_17976" WHERE "Mass" = '3.7 g' | 0.0625 |
CREATE TABLE table_72485 ("N" FLOAT, "P" CLOB, "Name" CLOB, "EU" CLOB, "Country" CLOB, "Age" FLOAT, "Type" CLOB, "Moving from" CLOB, "Transfer window" CLOB, "Ends" CLOB, "Transfer fee" CLOB, "Source" CLOB)
| What is the type of the player whose transfer fee was 20m? | SELECT "Type" FROM table_72485 WHERE "Transfer fee" = '€20M' | SELECT "Type" FROM "table_72485" WHERE "Transfer fee" = '€20M' | 0.060547 |
CREATE TABLE table_45763 ("Year" CLOB, "Model" CLOB, "Engine Type / Cyl." CLOB, "Power bhp ( kW ) " CLOB, "Wheelbase in" CLOB)
| What is the engine type with a wheelbase of 127 inches in 1915? | SELECT "Engine Type / Cyl." FROM table_45763 WHERE "Wheelbase in" = '127' AND "Year" = '1915' | SELECT "Engine Type / Cyl." FROM "table_45763" WHERE "Wheelbase in" = '127' AND "Year" = '1915' | 0.092773 |
CREATE TABLE invoices (invoice_details VARCHAR2, invoice_date VARCHAR2)
| Find the distinct details of invoices which are created before 1989-09-03 or after 2007-12-25. | SELECT DISTINCT invoice_details FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25" | SELECT DISTINCT "invoice_details" FROM "invoices" WHERE "1989-09-03" > "invoice_date" OR "2007-12-25" < "invoice_date" | 0.115234 |
CREATE TABLE table_name_7 (position VARCHAR2, notes VARCHAR2)
| What position has notes of 2:12:53? | SELECT position FROM table_name_7 WHERE notes = "2:12:53" | SELECT "position" FROM "table_name_7" WHERE "2:12:53" = "notes" | 0.061523 |
CREATE TABLE musical (Musical_ID NUMBER, Name CLOB, Year NUMBER, Award CLOB, Category CLOB, Nominee CLOB, Result CLOB)
CREATE TABLE actor (Actor_ID NUMBER, Name CLOB, Musical_ID NUMBER, Character CLOB, Duration CLOB, age NUMBER)
| Who are the nominees who were nominated for either of the Bob Fosse or Cleavant Derricks awards, and count them by a pie chart | SELECT Nominee, COUNT(Nominee) FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks" GROUP BY Nominee | SELECT "Nominee", COUNT("Nominee") FROM "musical" WHERE "Award" = "Cleavant Derricks" OR "Award" = "Tony Award" GROUP BY "Nominee" | 0.126953 |
CREATE TABLE table_1277350_1 (thursday_iuppiter__jupiter_ VARCHAR2, friday_venus__venus_ VARCHAR2)
| what's the thursday iuppiter (jupiter) with friday venus (venus) being vendredi | SELECT thursday_iuppiter__jupiter_ FROM table_1277350_1 WHERE friday_venus__venus_ = "vendredi" | SELECT "thursday_iuppiter__jupiter_" FROM "table_1277350_1" WHERE "friday_venus__venus_" = "vendredi" | 0.098633 |
CREATE TABLE people_addresses (person_address_id NUMBER, person_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE student_course_attendance (student_id NUMBER, course_id NUMBER, date_of_attendance TIME)
CREATE TABLE student_course_registrations (student_id NUMBER, course_id NUMBER, registration_date TIME)
CREATE TABLE people (person_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, login_name CLOB, password CLOB)
CREATE TABLE candidate_assessments (candidate_id NUMBER, qualification CLOB, assessment_date TIME, asessment_outcome_code CLOB)
CREATE TABLE courses (course_id CLOB, course_name CLOB, course_description CLOB, other_details CLOB)
CREATE TABLE students (student_id NUMBER, student_details CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE candidates (candidate_id NUMBER, candidate_details CLOB)
| What are the ids of the students who registered for course 301 most recently? | SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1 | SELECT "student_id" FROM "student_course_attendance" WHERE "course_id" = 301 ORDER BY "date_of_attendance" DESC FETCH FIRST 1 ROWS ONLY | 0.131836 |
CREATE TABLE table_name_48 (Id VARCHAR2)
| What 1953 has 2 as a 1949, and 3 as 1952? | SELECT 1953 FROM table_name_48 WHERE 1949 = "2" AND 1952 = "3" | SELECT 1953 FROM "table_name_48" WHERE "2" = 1949 AND "3" = 1952 | 0.0625 |
CREATE TABLE Projects (project_details VARCHAR2, organisation_id VARCHAR2)
| List the project details of the projects launched by the organisation | SELECT project_details FROM Projects WHERE organisation_id IN (SELECT organisation_id FROM Projects GROUP BY organisation_id ORDER BY COUNT(*) DESC LIMIT 1) | SELECT "project_details" FROM "Projects" WHERE "organisation_id" IN (SELECT "organisation_id" FROM "Projects" GROUP BY "organisation_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY) | 0.179688 |
CREATE TABLE table_name_71 (bronze NUMBER, total VARCHAR2, gold VARCHAR2, rank VARCHAR2)
| What's the number of bronze when they are ranked 29, had a total more than 3 and less than 2 golds? | SELECT MIN(bronze) FROM table_name_71 WHERE gold < 2 AND rank = "29" AND total > 3 | SELECT MIN("bronze") FROM "table_name_71" WHERE "29" = "rank" AND "gold" < 2 AND "total" > 3 | 0.089844 |
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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (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 d_labitems (row_id NUMBER, itemid NUMBER, label 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what is the name of the procedure that patient 1912 has undergone two times in 02/last year? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1912) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', procedures_icd.charttime) = '02' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 2) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1912 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "procedures_icd"."charttime") = '02' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" = 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.775391 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 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 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| Close as offtopic reason dist. | SELECT MAX(CreationDate) FROM Votes AS v WHERE VoteTypeId = 6 AND NOT UserId IS NULL | SELECT MAX("CreationDate") FROM "Votes" "v" WHERE "VoteTypeId" = 6 AND NOT "UserId" IS NULL | 0.088867 |
CREATE TABLE table_name_25 (date VARCHAR2, week VARCHAR2)
| What was the date of week 3? | SELECT date FROM table_name_25 WHERE week = 3 | SELECT "date" FROM "table_name_25" WHERE "week" = 3 | 0.049805 |
CREATE TABLE table_15932 ("County" CLOB, "English name" CLOB, "Irish name" CLOB, "Population" FLOAT, "Irish speakers" CLOB)
| What is the population for the English name Spiddal? | SELECT "Population" FROM table_15932 WHERE "English name" = 'Spiddal' | SELECT "Population" FROM "table_15932" WHERE "English name" = 'Spiddal' | 0.069336 |
CREATE TABLE table_name_27 (fleet_number_s_ VARCHAR2, serial_numbers VARCHAR2)
| What is the fleet number for the model with Serial number 68056? | SELECT fleet_number_s_ FROM table_name_27 WHERE serial_numbers = "68056" | SELECT "fleet_number_s_" FROM "table_name_27" WHERE "68056" = "serial_numbers" | 0.076172 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| how much was patient 20898's body weight last measured in this month? | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20898)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20898 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.833984 |
CREATE TABLE table_16279520_1 (title VARCHAR2, release VARCHAR2)
| What is the title of the 1.1 realease? | SELECT title FROM table_16279520_1 WHERE release = "1.1" | SELECT "title" FROM "table_16279520_1" WHERE "1.1" = "release" | 0.060547 |
CREATE TABLE table_2212 ("Irrigation District" CLOB, "Juntas de Regantes ( WUB ) " CLOB, "Asociaciones ( WUA ) ( # ) " FLOAT, "Tareas ( 15.9 tareas = 1 ha ) " FLOAT, "Users ( # ) " FLOAT)
| What's the number of users in the Nisibon-Yuma within the Del Este district? | SELECT "Users (#)" FROM table_2212 WHERE "Irrigation District" = 'Del Este' AND "Juntas de Regantes (WUB)" = 'Nisibon-Yuma' | SELECT "Users (#)" FROM "table_2212" WHERE "Irrigation District" = 'Del Este' AND "Juntas de Regantes (WUB)" = 'Nisibon-Yuma' | 0.12207 |
CREATE TABLE table_name_15 (name VARCHAR2, country VARCHAR2)
| What is the name of the buildings for China? | SELECT name FROM table_name_15 WHERE country = "china" | SELECT "name" FROM "table_name_15" WHERE "china" = "country" | 0.058594 |
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 DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE 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 COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
| What is the weekday of birth of professors teaching course ACCT-211? Show a bar chart, could you display by the total number in asc? | SELECT EMP_DOB, COUNT(EMP_DOB) FROM EMPLOYEE AS T1 JOIN CLASS AS T2 ON T1.EMP_NUM = T2.PROF_NUM WHERE CRS_CODE = "ACCT-211" ORDER BY COUNT(EMP_DOB) | SELECT "EMP_DOB", COUNT("EMP_DOB") FROM "EMPLOYEE" "T1" JOIN "CLASS" "T2" ON "T1"."EMP_NUM" = "T2"."PROF_NUM" WHERE "ACCT-211" = "CRS_CODE" ORDER BY COUNT("EMP_DOB") | 0.161133 |
CREATE TABLE city (County_ID VARCHAR2, White NUMBER)
CREATE TABLE county_public_safety (Crime_rate VARCHAR2, County_ID VARCHAR2)
| Show the crime rate of counties with a city having white percentage more than 90. | SELECT T2.Crime_rate FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID WHERE T1.White > 90 | SELECT "T2"."Crime_rate" FROM "city" "T1" JOIN "county_public_safety" "T2" ON "T1"."County_ID" = "T2"."County_ID" WHERE "T1"."White" > 90 | 0.133789 |
CREATE TABLE table_204_622 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| how long did the 400m in erfurt , germany take for piotr kedzia ? | SELECT "notes" FROM table_204_622 WHERE "event" = '400 m' AND "venue" = 'erfurt, germany' | SELECT "notes" FROM "table_204_622" WHERE "event" = '400 m' AND "venue" = 'erfurt, germany' | 0.088867 |
CREATE TABLE table_name_46 (game NUMBER, score VARCHAR2, points VARCHAR2)
| Which Game is the lowest one that has a Score of 2 3 ot, and Points larger than 76? | SELECT MIN(game) FROM table_name_46 WHERE score = "2–3 ot" AND points > 76 | SELECT MIN("game") FROM "table_name_46" WHERE "2–3 ot" = "score" AND "points" > 76 | 0.080078 |
CREATE TABLE table_10393 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| Who were the opponents in the final in which the score was 6 1, 1 6, 4 6? | SELECT "Opponents in the final" FROM table_10393 WHERE "Score in the final" = '6–1, 1–6, 4–6' | SELECT "Opponents in the final" FROM "table_10393" WHERE "Score in the final" = '6–1, 1–6, 4–6' | 0.092773 |
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (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)
| Average Number of Answers if has accepted vs none accepted. Returns the average number of answers from all Q&As with at least 1 answer where the Question has an accepted answer vs questions that don't have accepted answers. The theory is that questions that have accepted answers may discourage more answers being added. | WITH Accepted AS (SELECT xID = 1, AVG(CAST(p.AnswerCount AS FLOAT)) AS AcceptedCount FROM Posts AS p INNER JOIN Posts AS a ON p.Id = a.ParentId INNER JOIN Votes AS v ON a.Id = v.PostId WHERE p.PostTypeId = 1 AND p.AnswerCount > 0 AND v.VoteTypeId = 1 AND NOT p.AcceptedAnswerId IS NULL), NoAccepted AS (SELECT xID = 1, AVG(CAST(p.AnswerCount AS FLOAT)) AS NoAcceptedCount FROM Posts AS p WHERE p.PostTypeId = 1 AND p.AnswerCount > 0 AND p.AcceptedAnswerId IS NULL) SELECT AcceptedCount, NoAcceptedCount FROM Accepted AS a INNER JOIN NoAccepted AS na ON a.xID = na.xID | WITH "Accepted" AS (SELECT MAX(1) AS "_" FROM "Posts" "p" JOIN "Posts" "a" ON "a"."ParentId" = "p"."Id" JOIN "Votes" "v" ON "a"."Id" = "v"."PostId" AND "v"."VoteTypeId" = 1 WHERE "p"."AnswerCount" > 0 AND "p"."PostTypeId" = 1 AND NOT "p"."AcceptedAnswerId" IS NULL), "NoAccepted" AS (SELECT MAX(1) AS "_" FROM "Posts" "p" WHERE "p"."AcceptedAnswerId" IS NULL AND "p"."AnswerCount" > 0 AND "p"."PostTypeId" = 1) SELECT "AcceptedCount", "NoAcceptedCount" FROM "Accepted" "a" JOIN "NoAccepted" "na" ON "a"."xID" = "na"."xID" | 0.508789 |
CREATE TABLE table_2279413_1 (pct_route_available VARCHAR2, type_of_protection VARCHAR2)
| For short patent type of protections, what type of PCT route is available? | SELECT pct_route_available FROM table_2279413_1 WHERE type_of_protection = "short patent" | SELECT "pct_route_available" FROM "table_2279413_1" WHERE "short patent" = "type_of_protection" | 0.092773 |
CREATE TABLE table_40598 ("Ballarat FL" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| What is the highest win for losses less than 2? | SELECT MAX("Wins") FROM table_40598 WHERE "Losses" < '2' | SELECT MAX("Wins") FROM "table_40598" WHERE "Losses" < '2' | 0.056641 |
CREATE TABLE table_71930 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
| What event did she finish 3rd in 2010? | SELECT "Event" FROM table_71930 WHERE "Position" = '3rd' AND "Year" = '2010' | SELECT "Event" FROM "table_71930" WHERE "Position" = '3rd' AND "Year" = '2010' | 0.076172 |
CREATE TABLE table_name_81 (uci_rating VARCHAR2, location VARCHAR2, team VARCHAR2)
| What is the UCI rating of the race in Italy with the progetto ciclismo alplast team? | SELECT uci_rating FROM table_name_81 WHERE location = "italy" AND team = "progetto ciclismo alplast" | SELECT "uci_rating" FROM "table_name_81" WHERE "italy" = "location" AND "progetto ciclismo alplast" = "team" | 0.105469 |
CREATE TABLE table_4736 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the score when geelong was the away team? | SELECT "Home team score" FROM table_4736 WHERE "Home team" = 'geelong' | SELECT "Home team score" FROM "table_4736" WHERE "Home team" = 'geelong' | 0.070313 |
CREATE TABLE table_name_89 (english_title VARCHAR2, year VARCHAR2)
| What is the English title of the film from 2001? | SELECT english_title FROM table_name_89 WHERE year = 2001 | SELECT "english_title" FROM "table_name_89" WHERE "year" = 2001 | 0.061523 |
CREATE TABLE table_11622924_1 (winner VARCHAR2, tournament VARCHAR2)
| Who won the Suntree Seniors Classic? | SELECT winner FROM table_11622924_1 WHERE tournament = "Suntree Seniors Classic" | SELECT "winner" FROM "table_11622924_1" WHERE "Suntree Seniors Classic" = "tournament" | 0.083984 |
CREATE TABLE table_70204 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| What type of engine does a 1951 alfa romeo 159m chasis have? | SELECT "Engine" FROM table_70204 WHERE "Year" = '1951' AND "Chassis" = 'alfa romeo 159m' | SELECT "Engine" FROM "table_70204" WHERE "Chassis" = 'alfa romeo 159m' AND "Year" = '1951' | 0.087891 |
CREATE TABLE county (County_Id NUMBER, County_name CLOB, Population FLOAT, Zip_code CLOB)
CREATE TABLE election (Election_ID NUMBER, Counties_Represented CLOB, District NUMBER, Delegate CLOB, Party NUMBER, First_Elected FLOAT, Committee CLOB)
CREATE TABLE party (Party_ID NUMBER, Year FLOAT, Party CLOB, Governor CLOB, Lieutenant_Governor CLOB, Comptroller CLOB, Attorney_General CLOB, US_Senate CLOB)
| Show the name of each party and the corresponding number of delegates from that party in a bar chart, sort in desc by the the average of count(*) please. | SELECT T2.Party, AVG(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY AVG(COUNT(*)) DESC | SELECT "T2"."Party", AVG(COUNT(*)) FROM "election" "T1" JOIN "party" "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" ORDER BY AVG(COUNT(*)) DESC | 0.15332 |
CREATE TABLE table_name_20 (away_team VARCHAR2, venue VARCHAR2)
| Who was the away team at Arden Street Oval? | SELECT away_team FROM table_name_20 WHERE venue = "arden street oval" | SELECT "away_team" FROM "table_name_20" WHERE "arden street oval" = "venue" | 0.073242 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.