VMTLSH/text-to-sql-processed-v2 · Datasets at Hugging Face

instruction stringlengths 0 1.06k	input stringlengths 33 7.14k	response stringlengths 2 4.44k	source stringclasses 25 values	prompt listlengths 1 1	input_ids listlengths 1 1	label_ids listlengths 1 1
what is the color quality when the relay is ?	CREATE TABLE table_name_9 ( color_quality VARCHAR, relay VARCHAR )	SELECT color_quality FROM table_name_9 WHERE relay = "✓"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which were the bout 1 when the bout 5 was andreev ( rus ) w 5-2?	CREATE TABLE table_19398910_4 ( bout_1 VARCHAR, bout_5 VARCHAR )	SELECT bout_1 FROM table_19398910_4 WHERE bout_5 = "Andreev ( RUS ) W 5-2"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Catalog has a Date of july 15, 2011?	CREATE TABLE table_64721 ( "Region" text, "Date" text, "Label" text, "Format" text, "Catalog" real )	SELECT AVG("Catalog") FROM table_64721 WHERE "Date" = 'july 15, 2011'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
i'd like to know the latest flight from ATLANTA to BOSTON	CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id...	SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTO...	atis	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
on the current hospital encounter how many hours have passed since the first hypertension nos diagnosis of patient 14154?	CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, 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 TABL...	SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnoses_icd.charttime)) FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hypertension nos') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions...	mimic_iii	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the home team's score in the match at Victoria Park?	CREATE TABLE table_32844 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )	SELECT "Home team score" FROM table_32844 WHERE "Venue" = 'victoria park'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For Spring and Summer what courses meet the MDE requirement ?	CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments ...	SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id...	advising	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the velocity of the pilot named 'Thompson'?	CREATE TABLE flight ( velocity INTEGER, pilot VARCHAR )	SELECT AVG(velocity) FROM flight WHERE pilot = 'Thompson'	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest number of losses for teams that lost 52 ends?	CREATE TABLE table_20836 ( "Locale" text, "Skip" text, "W" real, "L" real, "PF" real, "PA" real, "Ends Won" real, "Ends Lost" real, "Blank Ends" real, "Stolen Ends" real, "Shot %" text )	SELECT MIN("L") FROM table_20836 WHERE "Ends Lost" = '52'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find All_Games and Team_ID , and visualize them by a bar chart, and could you display by the x-axis in desc?	CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Per...	SELECT All_Games, Team_ID FROM basketball_match ORDER BY All_Games DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Show the number of accounts opened in each year for all accounts and group by other account details in a group line chart, and sort from high to low by the X-axis.	CREATE TABLE Financial_Transactions ( transaction_id INTEGER, account_id INTEGER, invoice_number INTEGER, transaction_type VARCHAR(15), transaction_date DATETIME, transaction_amount DECIMAL(19,4), transaction_comment VARCHAR(255), other_transaction_details VARCHAR(255) ) CREATE TABLE In...	SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts GROUP BY other_account_details ORDER BY date_account_opened DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Opponent has a Result of 0-3?	CREATE TABLE table_59829 ( "Date" text, "Opponent" text, "Venue" text, "Result" text, "Attendance" real )	SELECT "Opponent" FROM table_59829 WHERE "Result" = '0-3'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Show the card type codes and the number of transactions.	CREATE TABLE customers_cards ( card_id number, customer_id number, card_type_code text, card_number text, date_valid_from time, date_valid_to time, other_card_details text ) CREATE TABLE accounts ( account_id number, customer_id number, account_name text, other_account_detai...	SELECT T2.card_type_code, COUNT(*) FROM financial_transactions AS T1 JOIN customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is last weight of patient 28447 in this month.	CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE d_labitems ( row_id number, itemid numbe...	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 = 28447)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt'...	mimic_iii	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the safari value with a 28.0% internet explorer?	CREATE TABLE table_name_70 ( safari VARCHAR, internet_explorer VARCHAR )	SELECT safari FROM table_name_70 WHERE internet_explorer = "28.0%"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What race was there in the formula one series when there was a test driver?	CREATE TABLE table_36576 ( "Season" real, "Series" text, "Team" text, "Races" text, "Wins" text, "Poles" text, "F/Laps" text, "Podiums" text, "Points" text, "Position" text )	SELECT "Races" FROM table_36576 WHERE "Series" = 'formula one' AND "Poles" = 'test driver'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the number of names of patients who made an appointment?, I want to sort by the y axis from high to low.	CREATE TABLE Patient ( SSN INTEGER, Name VARCHAR(30), Address VARCHAR(30), Phone VARCHAR(30), InsuranceID INTEGER, PCP INTEGER ) CREATE TABLE Affiliated_With ( Physician INTEGER, Department INTEGER, PrimaryAffiliation BOOLEAN ) CREATE TABLE On_Call ( Nurse INTEGER, BlockFlo...	SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name ORDER BY COUNT(Name) DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year was Skyline High School founded?	CREATE TABLE table_18971 ( "High School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Division" text )	SELECT COUNT("Founded") FROM table_18971 WHERE "High School" = 'Skyline'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the names of candidates who have a lower support rate than oppose rate?	CREATE TABLE candidate ( candidate_id number, people_id number, poll_source text, date text, support_rate number, consider_rate number, oppose_rate number, unsure_rate number ) CREATE TABLE people ( people_id number, sex text, name text, date_of_birth text, height nu...	SELECT t1.name FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id WHERE t2.support_rate < t2.oppose_rate	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the names of players who train between 500 and 1500 hours?	CREATE TABLE college ( cname text, state text, enr number ) CREATE TABLE tryout ( pid number, cname text, ppos text, decision text ) CREATE TABLE player ( pid number, pname text, ycard text, hs number )	SELECT pname FROM player WHERE hs BETWEEN 500 AND 1500	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many runs were ranked 4?	CREATE TABLE table_7696 ( "Rank" text, "Runs" text, "Player" text, "Average" text, "Season" text )	SELECT "Runs" FROM table_7696 WHERE "Rank" = '4'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the D44 when D43 is R 14?	CREATE TABLE table_name_64 ( d_44 VARCHAR, d_43 VARCHAR )	SELECT d_44 FROM table_name_64 WHERE d_43 = "r 14"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
give the number of patients born before the year 2152 who had procedure titled left heart cardiac cath.	CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2152" AND procedures.short_title = "Left heart cardiac cath"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which morgan creek film grossed the most worldwide ?	CREATE TABLE table_203_98 ( id number, "title" text, "year" number, "director" text, "budget" text, "gross (worldwide)" text, "notes" text )	SELECT "title" FROM table_203_98 ORDER BY "gross (worldwide)" DESC LIMIT 1	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the religious affiliation for the athletics nicknamed lords/ladies?	CREATE TABLE table_76313 ( "University" text, "Location" text, "Enrollment" real, "Founded" real, "Religious affiliation" text, "Athletics nickname" text, "School colors" text )	SELECT "Religious affiliation" FROM table_76313 WHERE "Athletics nickname" = 'lords/ladies'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the Qual with less than 68 laps?	CREATE TABLE table_name_3 ( qual VARCHAR, laps INTEGER )	SELECT qual FROM table_name_3 WHERE laps < 68	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is admission type and days of hospital stay of subject id 7273?	CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( ...	SELECT demographic.admission_type, demographic.days_stay FROM demographic WHERE demographic.subject_id = "7273"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find the names of customers who never placed an order.	CREATE TABLE customer_orders ( order_id number, customer_id number, order_status text, order_date time, order_details text ) CREATE TABLE order_items ( order_id number, product_id number, order_quantity text ) CREATE TABLE customer_addresses ( customer_id number, address_id num...	SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
A bar chart for what are the number of the last names for all scholarship students?, and rank total number in desc order.	CREATE TABLE Video_Games ( GameID INTEGER, GName VARCHAR(40), GType VARCHAR(40) ) CREATE TABLE Plays_Games ( StuID INTEGER, GameID INTEGER, Hours_Played INTEGER ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Ma...	SELECT LName, COUNT(LName) FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.OnScholarship = 'Y' GROUP BY LName ORDER BY COUNT(LName) DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the total number of Domestic Passengers of airports that contain the word 'London'.	CREATE TABLE pilot ( pilot_id number, name text, age number ) CREATE TABLE airport ( airport_id number, airport_name text, total_passengers number, %_change_2007 text, international_passengers number, domestic_passengers number, transit_passengers number, aircraft_movements ...	SELECT SUM(domestic_passengers) FROM airport WHERE airport_name LIKE "%London%"	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the centennial for 1992 akimel	CREATE TABLE table_20446 ( "Information" text, "Akimel A-al The name is Tohono Oodham for children of the river" text, "Altade\u00f1a" text, "Aprende" text, "Centennial" text, "Kyrene MS" text, "del Pueblo" text )	SELECT "Centennial" FROM table_20446 WHERE "Akimel A-al The name is Tohono Oodham for children of the river" = '1992'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the LOA (metres) of boat with sail number M10?	CREATE TABLE table_20854943_2 ( loa__metres_ VARCHAR, sail_number VARCHAR )	SELECT loa__metres_ FROM table_20854943_2 WHERE sail_number = "M10"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Find the first names and last names of teachers in alphabetical order of last name.	CREATE TABLE Teachers ( first_name VARCHAR, last_name VARCHAR )	SELECT first_name, last_name FROM Teachers ORDER BY last_name	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year was the game that ended with a score of 24-14?	CREATE TABLE table_name_22 ( year INTEGER, result VARCHAR )	SELECT AVG(year) FROM table_name_22 WHERE result = "24-14"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Position has a Pick # smaller than 23, and a Player of garrett sutherland?	CREATE TABLE table_name_12 ( position VARCHAR, pick__number VARCHAR, player VARCHAR )	SELECT position FROM table_name_12 WHERE pick__number < 23 AND player = "garrett sutherland"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the place when the score is 76-69-71-70=286?	CREATE TABLE table_46191 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )	SELECT "Place" FROM table_46191 WHERE "Score" = '76-69-71-70=286'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was Team 1 Junior's points?	CREATE TABLE table_27603010_14 ( points VARCHAR, team__number1 VARCHAR )	SELECT points FROM table_27603010_14 WHERE team__number1 = "Junior"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the supporting actress in 'For Whom the Bell Tolls'?	CREATE TABLE table_24225238_1 ( supporting_actress VARCHAR, film VARCHAR )	SELECT supporting_actress FROM table_24225238_1 WHERE film = "For Whom the Bell Tolls"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On May 9 after Game 3, what was the Opponent?	CREATE TABLE table_5316 ( "Game" real, "Date" text, "Opponent" text, "Score" text, "Series" text )	SELECT "Opponent" FROM table_5316 WHERE "Game" > '3' AND "Date" = 'may 9'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
since 3 years ago, what are the three most frequently prescribed drugs to hypertension female patients aged 40s within the same hospital visit after they have been diagnosed with hypertension?	CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, a...	SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypertension' A...	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
who finished directly before akinremi ?	CREATE TABLE table_204_71 ( id number, "rank" number, "heat" number, "name" text, "nationality" text, "time" text, "notes" text )	SELECT "name" FROM table_204_71 WHERE "rank" = (SELECT "rank" FROM table_204_71 WHERE "name" = 'christy akinremi') - 1	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the number of patients whose age is less than 55 and drug code is warf1?	CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) C...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "55" AND prescriptions.formulary_drug_cd = "WARF1"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
show me the top five most frequent diagnoses?	CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE d_labitems ( row_id number, itemid number, label te...	SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 5)	mimic_iii	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
I want the outgoing manager for craig brewster	CREATE TABLE table_10574 ( "Team" text, "Outgoing manager" text, "Manner of departure" text, "Replaced by" text, "Date of appointment" text )	SELECT "Outgoing manager" FROM table_10574 WHERE "Replaced by" = 'craig brewster'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Show the proportion of the number of ranks for each rank.	CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER ) CREATE TABLE Faculty ( FacID INTEGER, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) CREATE TABLE Activity ( actid INTEGER, ...	SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is Model Number, when Voltage is 2.0V, and when Frequency is 350 mhz?	CREATE TABLE table_49715 ( "Model number" text, "Frequency" text, "L2 cache" text, "Mult." text, "Voltage" text, "Socket" text )	SELECT "Model number" FROM table_49715 WHERE "Voltage" = '2.0v' AND "Frequency" = '350 mhz'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which parts have more than 2 faults? Show the part name and id.	CREATE TABLE Maintenance_Contracts ( maintenance_contract_id INTEGER, maintenance_contract_company_id INTEGER, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR(255) ) CREATE TABLE Fault_Log ( fault_log_entry_id INTEGER, asset_id INTEGER, recorded_...	SELECT T1.part_name, T1.part_id FROM Parts AS T1 JOIN Part_Faults AS T2 ON T1.part_id = T2.part_id	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
hmm.. what was patient 96937's first sodium since 109 months ago?	CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, d...	SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 96937) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'sodium') AND DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '-109 mon...	mimic_iii	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What party was the member peter howson part of?	CREATE TABLE table_9192 ( "Member" text, "Party" text, "Electorate" text, "State" text, "Term of office" text )	SELECT "Party" FROM table_9192 WHERE "Member" = 'peter howson'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What Tournament had a Winning score of 6 (73-68-72-69=282)?	CREATE TABLE table_9999 ( "Date" text, "Tournament" text, "Winning score" text, "Margin of victory" text, "Runner(s)-up" text )	SELECT "Tournament" FROM table_9999 WHERE "Winning score" = '–6 (73-68-72-69=282)'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which country is Pete Cooper, who made $816, from?	CREATE TABLE table_77149 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )	SELECT "Country" FROM table_77149 WHERE "Money ( $ )" = '816' AND "Player" = 'pete cooper'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year was the expansion in the city of San Juan?	CREATE TABLE table_66099 ( "Continent" text, "Location" text, "City" text, "Date" text, "Year" real )	SELECT COUNT("Year") FROM table_66099 WHERE "City" = 'san juan'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many first tournaments are associated with bowling?	CREATE TABLE table_2849652_2 ( sport VARCHAR )	SELECT COUNT(1 AS st_tournament) FROM table_2849652_2 WHERE sport = "Bowling"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which bubbles has an atribute of onlostpointercapture?	CREATE TABLE table_35692 ( "Category" text, "Type" text, "Attribute" text, "Bubbles" text, "Cancelable" text )	SELECT "Bubbles" FROM table_35692 WHERE "Attribute" = 'onlostpointercapture'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the number of patients whose ethnicity is white and procedure short title is dx ultrasound-heart?	CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "WHITE" AND procedures.short_title = "Dx ultrasound-heart"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year did Team of Andretti Green Racing have a finish smaller than 8 with a Dallara chassis?	CREATE TABLE table_name_51 ( year VARCHAR, finish VARCHAR, chassis VARCHAR, team VARCHAR )	SELECT year FROM table_name_51 WHERE chassis = "dallara" AND team = "andretti green racing" AND finish < 8	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Give me a histogram for what are the types of competition and number of competitions for that type?	CREATE TABLE player ( Player_ID int, name text, Position text, Club_ID int, Apps real, Tries real, Goals text, Points real ) CREATE TABLE club_rank ( Rank real, Club_ID int, Gold real, Silver real, Bronze real, Total real ) CREATE TABLE competition ( Competi...	SELECT Competition_type, COUNT(*) FROM competition GROUP BY Competition_type	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the to par for t10 and Colin Montgomerie?	CREATE TABLE table_60495 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )	SELECT "To par" FROM table_60495 WHERE "Place" = 't10' AND "Player" = 'colin montgomerie'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which morning classes are for RCCORE 410 ?	CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_p...	SELECT DISTINCT course_offering.end_time, course_offering.start_time, semester.semester, semester.year FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'RCCORE' AND c...	advising	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the aspect ratio for smpte 259m and interlaced scanning	CREATE TABLE table_29367 ( "Vertical" real, "Horizontal" real, "Aspect ratio" text, "Pixel aspect ratio" text, "Scanning" text, "Frame rate ( Hz )" text )	SELECT "Aspect ratio" FROM table_29367 WHERE "Pixel aspect ratio" = 'SMPTE 259M' AND "Scanning" = 'interlaced'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which artist/group has the highest average download of songs?	CREATE TABLE torrents ( groupname text, totalsnatched number, artist text, groupyear number, releasetype text, groupid number, id number ) CREATE TABLE tags ( index number, id number, tag text )	SELECT artist FROM torrents GROUP BY artist ORDER BY AVG(totalsnatched) DESC LIMIT 1	whatcdhiphop	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the minimum and maximum membership amounts for all branches that either opened in 2011 or are located in London?	CREATE TABLE member ( member_id number, card_number text, name text, hometown text, level number ) CREATE TABLE branch ( branch_id number, name text, open_year text, address_road text, city text, membership_amount text ) CREATE TABLE membership_register_branch ( member_...	SELECT MIN(membership_amount), MAX(membership_amount) FROM branch WHERE open_year = 2011 OR city = 'London'	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
which has the largest volume number ?	CREATE TABLE table_204_696 ( id number, "issue" number, "volume" number, "title" text, "main feature story" text, "first/early appearance story/stories" text, "release date" text )	SELECT "title" FROM table_204_696 ORDER BY "volume" DESC LIMIT 1	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the number of patients discharged to psychiatric facility-partial hospitalization who had a (aorto)coronary bypass of three coronary arteries procedure?	CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, ...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND procedures.long_title = "(Aorto)coronary bypass of three coronary arteries"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who was the coach for episode 15?	CREATE TABLE table_73286 ( "Season" real, "Episode" real, "Episode Summary" text, "Premier date" text, "External Link" text, "Coach" text )	SELECT "Coach" FROM table_73286 WHERE "Episode" = '15'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which of the events only lasted no more than 0:55?	CREATE TABLE table_71518 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Event" text, "Round" real, "Time" text, "Location" text )	SELECT "Event" FROM table_71518 WHERE "Time" = '0:55'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Position has Goals For of 52, and Goals Against larger than 70?	CREATE TABLE table_79160 ( "Position" real, "Team" text, "Played" real, "Drawn" real, "Lost" real, "Goals For" real, "Goals Against" real, "Goal Difference" text, "Points 1" text )	SELECT MAX("Position") FROM table_79160 WHERE "Goals For" = '52' AND "Goals Against" > '70'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many current patients aged 30s are there?	CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE vitalperiodic ( ...	SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.hospitaldischargetime IS NULL AND patient.age BETWEEN 30 AND 39	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Create a bar chart showing how many allergytype across allergytype, and show Y from low to high order.	CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) CREATE TABLE Allergy_Type ( Allergy VARCHAR(20), ...	SELECT AllergyType, COUNT(AllergyType) FROM Allergy_Type GROUP BY AllergyType ORDER BY COUNT(AllergyType)	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Between EECS 540 and EECS 628 ; which is the easiest ?	CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_...	SELECT DISTINCT course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (course.number = 540 OR course.number = 628) AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN course AS COURSEalias1 ON ...	advising	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest league goals that have 0 as the FA Cup Apps, with 1 (3) as totals apps?	CREATE TABLE table_name_46 ( league_goals INTEGER, fa_cup_apps VARCHAR, total_apps VARCHAR )	SELECT MIN(league_goals) FROM table_name_46 WHERE fa_cup_apps = "0" AND total_apps = "1 (3)"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
provide the number of patients admitted before the year 2165 and diagnosed with hepatitis, unspecified.	CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2165" AND diagnoses.long_title = "Hepatitis, unspecified"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the name of the medicine that was prescribed to patient 005-77687 for the first time through the dialysis route in the last month?	CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9cod...	SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-77687')) AND medication.routeadmin = 'dialysis' AND DATETIME(me...	eicu	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the trainer of the winner skylighter?	CREATE TABLE table_name_5 ( trainer VARCHAR, winner VARCHAR )	SELECT trainer FROM table_name_5 WHERE winner = "skylighter"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the game with the golden state warriors?	CREATE TABLE table_name_37 ( game VARCHAR, team VARCHAR )	SELECT game FROM table_name_37 WHERE team = "golden state warriors"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time.	CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEP...	SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
On what date did Contac 12 Hours of Sebring take place?	CREATE TABLE table_name_21 ( date VARCHAR, race VARCHAR )	SELECT date FROM table_name_21 WHERE race = "contac 12 hours of sebring"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the track for 1978?	CREATE TABLE table_7794 ( "Year" real, "Track" text, "50 cc" text, "125 cc" text, "Report" text )	SELECT "Track" FROM table_7794 WHERE "Year" = '1978'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many days in April has a record of 42 22 12 3, and less than 99 points?	CREATE TABLE table_name_98 ( april VARCHAR, record VARCHAR, points VARCHAR )	SELECT COUNT(april) FROM table_name_98 WHERE record = "42–22–12–3" AND points < 99	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What companyw as the constructor when the Time/Retired was collision, and a Grid of 11?	CREATE TABLE table_67299 ( "Driver" text, "Constructor" text, "Laps" text, "Time/Retired" text, "Grid" text )	SELECT "Constructor" FROM table_67299 WHERE "Time/Retired" = 'collision' AND "Grid" = '11'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
When has a Source of rasmussen reports?	CREATE TABLE table_42113 ( "Source" text, "Date" text, "Clinton" text, "Obama" text, "Undecided" text )	SELECT "Date" FROM table_42113 WHERE "Source" = 'rasmussen reports'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which urban area has a 2011 population of 5010?	CREATE TABLE table_1940144_1 ( urban_area VARCHAR, population_2011 VARCHAR )	SELECT urban_area FROM table_1940144_1 WHERE population_2011 = 5010	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the difference in years between the first volume published and the 13th volume published ?	CREATE TABLE table_204_843 ( id number, "volume" number, "year" text, "names" text, "articles" number, "pages" number, "images" number, "maps" number, "number of copies" number )	SELECT ABS((SELECT "year" FROM table_204_843 WHERE "volume" = 1) - (SELECT "year" FROM table_204_843 WHERE "volume" = 13))	squall	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Visualize the title and their total smallest ratings of the movie using a bar chart, show bar in desc order.	CREATE TABLE Movie ( mID int, title text, year int, director text ) CREATE TABLE Reviewer ( rID int, name text ) CREATE TABLE Rating ( rID int, mID int, stars int, ratingDate date )	SELECT T2.title, SUM(MIN(T1.stars)) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.title ORDER BY T2.title DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the number of patients whose age is less than 68 and lab test fluid is joint fluid?	CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) C...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Joint Fluid"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What round has a position of F/C from Iowa College?	CREATE TABLE table_name_56 ( round VARCHAR, position VARCHAR, college VARCHAR )	SELECT round FROM table_name_56 WHERE position = "f/c" AND college = "iowa"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the sum of manufacturer , and group by attribute name, I want to show in desc by the x axis.	CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER ) CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL )	SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name DESC	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Return a pie chart on what is the average base price of different bed type? List bed type and average base price.	CREATE TABLE Rooms ( RoomId TEXT, roomName TEXT, beds INTEGER, bedType TEXT, maxOccupancy INTEGER, basePrice INTEGER, decor TEXT ) CREATE TABLE Reservations ( Code INTEGER, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate REAL, LastName TEXT, FirstName TEXT, Adul...	SELECT bedType, AVG(basePrice) FROM Rooms GROUP BY bedType	nvbench	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the smallest drawn with a position bigger than 10 and a played less than 20?	CREATE TABLE table_40505 ( "Position" real, "Team" text, "Points" real, "Played" real, "Drawn" real, "Lost" real, "Against" real, "Difference" text )	SELECT MIN("Drawn") FROM table_40505 WHERE "Position" > '10' AND "Played" < '20'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the point total for the Formula Renault 2.0 Italy series?	CREATE TABLE table_21795650_1 ( points VARCHAR, series VARCHAR )	SELECT COUNT(points) FROM table_21795650_1 WHERE series = "Formula Renault 2.0 Italy"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What date did Ben Gordon (8) have high assists?	CREATE TABLE table_name_20 ( date VARCHAR, high_assists VARCHAR )	SELECT date FROM table_name_20 WHERE high_assists = "ben gordon (8)"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which Affiliation has a Nickname of cougars?	CREATE TABLE table_47949 ( "Institution" text, "Location" text, "Founded" real, "Affiliation" text, "Nickname" text )	SELECT "Affiliation" FROM table_47949 WHERE "Nickname" = 'cougars'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the record for score 1-3?	CREATE TABLE table_74139 ( "Game" real, "November" real, "Opponent" text, "Score" text, "Location/Attendance" text, "Record" text, "Points" real )	SELECT "Record" FROM table_74139 WHERE "Score" = '1-3'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which player has a place of t2?	CREATE TABLE table_name_4 ( player VARCHAR, place VARCHAR )	SELECT player FROM table_name_4 WHERE place = "t2"	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which kind of part has the least number of faults? List the part name.	CREATE TABLE fault_log_parts ( fault_log_entry_id number, part_fault_id number, fault_status text ) CREATE TABLE engineer_skills ( engineer_id number, skill_id number ) CREATE TABLE skills ( skill_id number, skill_code text, skill_description text ) CREATE TABLE staff ( staff_id n...	SELECT T1.part_name FROM parts AS T1 JOIN part_faults AS T2 ON T1.part_id = T2.part_id GROUP BY T1.part_name ORDER BY COUNT(*) LIMIT 1	spider	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many patients whose diagnoses long title is diverticulosis of colon with hemorrhage and lab test fluid is blood?	CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Diverticulosis of colon with hemorrhage" AND lab.fluid = "Blood"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the hometown of the player who is headed to Duke?	CREATE TABLE table_52468 ( "Player" text, "Height" text, "School" text, "Hometown" text, "College" text )	SELECT "Hometown" FROM table_52468 WHERE "College" = 'duke'	wikisql	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the lowest Loss number when the Gain is less than 61 and the Avg/G is 6?	CREATE TABLE table_name_94 ( loss INTEGER, gain VARCHAR, avg_g VARCHAR )	SELECT MIN(loss) FROM table_name_94 WHERE gain < 61 AND avg_g = 6	sql_create_context	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Search questions by any keyword.	CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE PostHistoryTypes ( Id number, Name te...	SELECT p.CreationDate, p.Body, p.Id AS "post_link" FROM Posts AS p WHERE p.PostTypeId = 1 AND p.Body LIKE '%##keyword1##%' LIMIT 100	sede	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Calculate the total number of portuguese speaking patients.	CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( ...	SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PORT"	mimicsql_data	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...	[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the color quality when the relay is ?

CREATE TABLE table_name_9 ( color_quality VARCHAR, relay VARCHAR )

SELECT color_quality FROM table_name_9 WHERE relay = "✓"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which were the bout 1 when the bout 5 was andreev ( rus ) w 5-2?

CREATE TABLE table_19398910_4 ( bout_1 VARCHAR, bout_5 VARCHAR )

SELECT bout_1 FROM table_19398910_4 WHERE bout_5 = "Andreev ( RUS ) W 5-2"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which Catalog has a Date of july 15, 2011?

CREATE TABLE table_64721 ( "Region" text, "Date" text, "Label" text, "Format" text, "Catalog" real )

SELECT AVG("Catalog") FROM table_64721 WHERE "Date" = 'july 15, 2011'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

i'd like to know the latest flight from ATLANTA to BOSTON

CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id...

SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTO...

atis

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

on the current hospital encounter how many hours have passed since the first hypertension nos diagnosis of patient 14154?

CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, 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 TABL...

SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnoses_icd.charttime)) FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hypertension nos') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions...

mimic_iii

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What was the home team's score in the match at Victoria Park?

CREATE TABLE table_32844 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )

SELECT "Home team score" FROM table_32844 WHERE "Venue" = 'victoria park'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

For Spring and Summer what courses meet the MDE requirement ?

CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments ...

SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id...

advising

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the velocity of the pilot named 'Thompson'?

CREATE TABLE flight ( velocity INTEGER, pilot VARCHAR )

SELECT AVG(velocity) FROM flight WHERE pilot = 'Thompson'

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the lowest number of losses for teams that lost 52 ends?

CREATE TABLE table_20836 ( "Locale" text, "Skip" text, "W" real, "L" real, "PF" real, "PA" real, "Ends Won" real, "Ends Lost" real, "Blank Ends" real, "Stolen Ends" real, "Shot %" text )

SELECT MIN("L") FROM table_20836 WHERE "Ends Lost" = '52'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Find All_Games and Team_ID , and visualize them by a bar chart, and could you display by the x-axis in desc?

CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Per...

SELECT All_Games, Team_ID FROM basketball_match ORDER BY All_Games DESC

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Show the number of accounts opened in each year for all accounts and group by other account details in a group line chart, and sort from high to low by the X-axis.

CREATE TABLE Financial_Transactions ( transaction_id INTEGER, account_id INTEGER, invoice_number INTEGER, transaction_type VARCHAR(15), transaction_date DATETIME, transaction_amount DECIMAL(19,4), transaction_comment VARCHAR(255), other_transaction_details VARCHAR(255) ) CREATE TABLE In...

SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts GROUP BY other_account_details ORDER BY date_account_opened DESC

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which Opponent has a Result of 0-3?

CREATE TABLE table_59829 ( "Date" text, "Opponent" text, "Venue" text, "Result" text, "Attendance" real )

SELECT "Opponent" FROM table_59829 WHERE "Result" = '0-3'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Show the card type codes and the number of transactions.

CREATE TABLE customers_cards ( card_id number, customer_id number, card_type_code text, card_number text, date_valid_from time, date_valid_to time, other_card_details text ) CREATE TABLE accounts ( account_id number, customer_id number, account_name text, other_account_detai...

SELECT T2.card_type_code, COUNT(*) FROM financial_transactions AS T1 JOIN customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code

spider

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is last weight of patient 28447 in this month.

CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE d_labitems ( row_id number, itemid numbe...

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 = 28447)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt'...

mimic_iii

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the safari value with a 28.0% internet explorer?

CREATE TABLE table_name_70 ( safari VARCHAR, internet_explorer VARCHAR )

SELECT safari FROM table_name_70 WHERE internet_explorer = "28.0%"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What race was there in the formula one series when there was a test driver?

CREATE TABLE table_36576 ( "Season" real, "Series" text, "Team" text, "Races" text, "Wins" text, "Poles" text, "F/Laps" text, "Podiums" text, "Points" text, "Position" text )

SELECT "Races" FROM table_36576 WHERE "Series" = 'formula one' AND "Poles" = 'test driver'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What are the number of names of patients who made an appointment?, I want to sort by the y axis from high to low.

CREATE TABLE Patient ( SSN INTEGER, Name VARCHAR(30), Address VARCHAR(30), Phone VARCHAR(30), InsuranceID INTEGER, PCP INTEGER ) CREATE TABLE Affiliated_With ( Physician INTEGER, Department INTEGER, PrimaryAffiliation BOOLEAN ) CREATE TABLE On_Call ( Nurse INTEGER, BlockFlo...

SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name ORDER BY COUNT(Name) DESC

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What year was Skyline High School founded?

CREATE TABLE table_18971 ( "High School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Division" text )

SELECT COUNT("Founded") FROM table_18971 WHERE "High School" = 'Skyline'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What are the names of candidates who have a lower support rate than oppose rate?

CREATE TABLE candidate ( candidate_id number, people_id number, poll_source text, date text, support_rate number, consider_rate number, oppose_rate number, unsure_rate number ) CREATE TABLE people ( people_id number, sex text, name text, date_of_birth text, height nu...

SELECT t1.name FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id WHERE t2.support_rate < t2.oppose_rate

spider

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What are the names of players who train between 500 and 1500 hours?

CREATE TABLE college ( cname text, state text, enr number ) CREATE TABLE tryout ( pid number, cname text, ppos text, decision text ) CREATE TABLE player ( pid number, pname text, ycard text, hs number )

SELECT pname FROM player WHERE hs BETWEEN 500 AND 1500

spider

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

How many runs were ranked 4?

CREATE TABLE table_7696 ( "Rank" text, "Runs" text, "Player" text, "Average" text, "Season" text )

SELECT "Runs" FROM table_7696 WHERE "Rank" = '4'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the D44 when D43 is R 14?

CREATE TABLE table_name_64 ( d_44 VARCHAR, d_43 VARCHAR )

SELECT d_44 FROM table_name_64 WHERE d_43 = "r 14"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

give the number of patients born before the year 2152 who had procedure titled left heart cardiac cath.

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2152" AND procedures.short_title = "Left heart cardiac cath"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

which morgan creek film grossed the most worldwide ?

CREATE TABLE table_203_98 ( id number, "title" text, "year" number, "director" text, "budget" text, "gross (worldwide)" text, "notes" text )

SELECT "title" FROM table_203_98 ORDER BY "gross (worldwide)" DESC LIMIT 1

squall

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What was the religious affiliation for the athletics nicknamed lords/ladies?

CREATE TABLE table_76313 ( "University" text, "Location" text, "Enrollment" real, "Founded" real, "Religious affiliation" text, "Athletics nickname" text, "School colors" text )

SELECT "Religious affiliation" FROM table_76313 WHERE "Athletics nickname" = 'lords/ladies'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the Qual with less than 68 laps?

CREATE TABLE table_name_3 ( qual VARCHAR, laps INTEGER )

SELECT qual FROM table_name_3 WHERE laps < 68

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is admission type and days of hospital stay of subject id 7273?

CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( ...

SELECT demographic.admission_type, demographic.days_stay FROM demographic WHERE demographic.subject_id = "7273"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Find the names of customers who never placed an order.

CREATE TABLE customer_orders ( order_id number, customer_id number, order_status text, order_date time, order_details text ) CREATE TABLE order_items ( order_id number, product_id number, order_quantity text ) CREATE TABLE customer_addresses ( customer_id number, address_id num...

SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id

spider

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

A bar chart for what are the number of the last names for all scholarship students?, and rank total number in desc order.

CREATE TABLE Video_Games ( GameID INTEGER, GName VARCHAR(40), GType VARCHAR(40) ) CREATE TABLE Plays_Games ( StuID INTEGER, GameID INTEGER, Hours_Played INTEGER ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Ma...

SELECT LName, COUNT(LName) FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.OnScholarship = 'Y' GROUP BY LName ORDER BY COUNT(LName) DESC

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What are the total number of Domestic Passengers of airports that contain the word 'London'.

CREATE TABLE pilot ( pilot_id number, name text, age number ) CREATE TABLE airport ( airport_id number, airport_name text, total_passengers number, %_change_2007 text, international_passengers number, domestic_passengers number, transit_passengers number, aircraft_movements ...

SELECT SUM(domestic_passengers) FROM airport WHERE airport_name LIKE "%London%"

spider

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Name the centennial for 1992 akimel

CREATE TABLE table_20446 ( "Information" text, "Akimel A-al The name is Tohono Oodham for children of the river" text, "Altade\u00f1a" text, "Aprende" text, "Centennial" text, "Kyrene MS" text, "del Pueblo" text )

SELECT "Centennial" FROM table_20446 WHERE "Akimel A-al The name is Tohono Oodham for children of the river" = '1992'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What are the LOA (metres) of boat with sail number M10?

CREATE TABLE table_20854943_2 ( loa__metres_ VARCHAR, sail_number VARCHAR )

SELECT loa__metres_ FROM table_20854943_2 WHERE sail_number = "M10"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Find the first names and last names of teachers in alphabetical order of last name.

CREATE TABLE Teachers ( first_name VARCHAR, last_name VARCHAR )

SELECT first_name, last_name FROM Teachers ORDER BY last_name

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What year was the game that ended with a score of 24-14?

CREATE TABLE table_name_22 ( year INTEGER, result VARCHAR )

SELECT AVG(year) FROM table_name_22 WHERE result = "24-14"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which Position has a Pick # smaller than 23, and a Player of garrett sutherland?

CREATE TABLE table_name_12 ( position VARCHAR, pick__number VARCHAR, player VARCHAR )

SELECT position FROM table_name_12 WHERE pick__number < 23 AND player = "garrett sutherland"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the place when the score is 76-69-71-70=286?

CREATE TABLE table_46191 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )

SELECT "Place" FROM table_46191 WHERE "Score" = '76-69-71-70=286'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What was Team 1 Junior's points?

CREATE TABLE table_27603010_14 ( points VARCHAR, team__number1 VARCHAR )

SELECT points FROM table_27603010_14 WHERE team__number1 = "Junior"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Who was the supporting actress in 'For Whom the Bell Tolls'?

CREATE TABLE table_24225238_1 ( supporting_actress VARCHAR, film VARCHAR )

SELECT supporting_actress FROM table_24225238_1 WHERE film = "For Whom the Bell Tolls"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

On May 9 after Game 3, what was the Opponent?

CREATE TABLE table_5316 ( "Game" real, "Date" text, "Opponent" text, "Score" text, "Series" text )

SELECT "Opponent" FROM table_5316 WHERE "Game" > '3' AND "Date" = 'may 9'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

since 3 years ago, what are the three most frequently prescribed drugs to hypertension female patients aged 40s within the same hospital visit after they have been diagnosed with hypertension?

CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, a...

SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypertension' A...

eicu

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

who finished directly before akinremi ?

CREATE TABLE table_204_71 ( id number, "rank" number, "heat" number, "name" text, "nationality" text, "time" text, "notes" text )

SELECT "name" FROM table_204_71 WHERE "rank" = (SELECT "rank" FROM table_204_71 WHERE "name" = 'christy akinremi') - 1

squall

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the number of patients whose age is less than 55 and drug code is warf1?

CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) C...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "55" AND prescriptions.formulary_drug_cd = "WARF1"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

show me the top five most frequent diagnoses?

CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE d_labitems ( row_id number, itemid number, label te...

SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 5)

mimic_iii

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

I want the outgoing manager for craig brewster

CREATE TABLE table_10574 ( "Team" text, "Outgoing manager" text, "Manner of departure" text, "Replaced by" text, "Date of appointment" text )

SELECT "Outgoing manager" FROM table_10574 WHERE "Replaced by" = 'craig brewster'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Show the proportion of the number of ranks for each rank.

CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER ) CREATE TABLE Faculty ( FacID INTEGER, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) CREATE TABLE Activity ( actid INTEGER, ...

SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is Model Number, when Voltage is 2.0V, and when Frequency is 350 mhz?

CREATE TABLE table_49715 ( "Model number" text, "Frequency" text, "L2 cache" text, "Mult." text, "Voltage" text, "Socket" text )

SELECT "Model number" FROM table_49715 WHERE "Voltage" = '2.0v' AND "Frequency" = '350 mhz'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

which parts have more than 2 faults? Show the part name and id.

CREATE TABLE Maintenance_Contracts ( maintenance_contract_id INTEGER, maintenance_contract_company_id INTEGER, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR(255) ) CREATE TABLE Fault_Log ( fault_log_entry_id INTEGER, asset_id INTEGER, recorded_...

SELECT T1.part_name, T1.part_id FROM Parts AS T1 JOIN Part_Faults AS T2 ON T1.part_id = T2.part_id

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

hmm.. what was patient 96937's first sodium since 109 months ago?

CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, d...

SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 96937) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'sodium') AND DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '-109 mon...

mimic_iii

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What party was the member peter howson part of?

CREATE TABLE table_9192 ( "Member" text, "Party" text, "Electorate" text, "State" text, "Term of office" text )

SELECT "Party" FROM table_9192 WHERE "Member" = 'peter howson'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What Tournament had a Winning score of 6 (73-68-72-69=282)?

CREATE TABLE table_9999 ( "Date" text, "Tournament" text, "Winning score" text, "Margin of victory" text, "Runner(s)-up" text )

SELECT "Tournament" FROM table_9999 WHERE "Winning score" = '–6 (73-68-72-69=282)'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which country is Pete Cooper, who made $816, from?

CREATE TABLE table_77149 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )

SELECT "Country" FROM table_77149 WHERE "Money ( $ )" = '816' AND "Player" = 'pete cooper'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What year was the expansion in the city of San Juan?

CREATE TABLE table_66099 ( "Continent" text, "Location" text, "City" text, "Date" text, "Year" real )

SELECT COUNT("Year") FROM table_66099 WHERE "City" = 'san juan'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

How many first tournaments are associated with bowling?

CREATE TABLE table_2849652_2 ( sport VARCHAR )

SELECT COUNT(1 AS st_tournament) FROM table_2849652_2 WHERE sport = "Bowling"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which bubbles has an atribute of onlostpointercapture?

CREATE TABLE table_35692 ( "Category" text, "Type" text, "Attribute" text, "Bubbles" text, "Cancelable" text )

SELECT "Bubbles" FROM table_35692 WHERE "Attribute" = 'onlostpointercapture'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the number of patients whose ethnicity is white and procedure short title is dx ultrasound-heart?

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "WHITE" AND procedures.short_title = "Dx ultrasound-heart"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What year did Team of Andretti Green Racing have a finish smaller than 8 with a Dallara chassis?

CREATE TABLE table_name_51 ( year VARCHAR, finish VARCHAR, chassis VARCHAR, team VARCHAR )

SELECT year FROM table_name_51 WHERE chassis = "dallara" AND team = "andretti green racing" AND finish < 8

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Give me a histogram for what are the types of competition and number of competitions for that type?

CREATE TABLE player ( Player_ID int, name text, Position text, Club_ID int, Apps real, Tries real, Goals text, Points real ) CREATE TABLE club_rank ( Rank real, Club_ID int, Gold real, Silver real, Bronze real, Total real ) CREATE TABLE competition ( Competi...

SELECT Competition_type, COUNT(*) FROM competition GROUP BY Competition_type

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the to par for t10 and Colin Montgomerie?

CREATE TABLE table_60495 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )

SELECT "To par" FROM table_60495 WHERE "Place" = 't10' AND "Player" = 'colin montgomerie'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which morning classes are for RCCORE 410 ?

CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_p...

SELECT DISTINCT course_offering.end_time, course_offering.start_time, semester.semester, semester.year FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'RCCORE' AND c...

advising

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Name the aspect ratio for smpte 259m and interlaced scanning

CREATE TABLE table_29367 ( "Vertical" real, "Horizontal" real, "Aspect ratio" text, "Pixel aspect ratio" text, "Scanning" text, "Frame rate ( Hz )" text )

SELECT "Aspect ratio" FROM table_29367 WHERE "Pixel aspect ratio" = 'SMPTE 259M' AND "Scanning" = 'interlaced'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which artist/group has the highest average download of songs?

CREATE TABLE torrents ( groupname text, totalsnatched number, artist text, groupyear number, releasetype text, groupid number, id number ) CREATE TABLE tags ( index number, id number, tag text )

SELECT artist FROM torrents GROUP BY artist ORDER BY AVG(totalsnatched) DESC LIMIT 1

whatcdhiphop

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What are the minimum and maximum membership amounts for all branches that either opened in 2011 or are located in London?

CREATE TABLE member ( member_id number, card_number text, name text, hometown text, level number ) CREATE TABLE branch ( branch_id number, name text, open_year text, address_road text, city text, membership_amount text ) CREATE TABLE membership_register_branch ( member_...

SELECT MIN(membership_amount), MAX(membership_amount) FROM branch WHERE open_year = 2011 OR city = 'London'

spider

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

which has the largest volume number ?

CREATE TABLE table_204_696 ( id number, "issue" number, "volume" number, "title" text, "main feature story" text, "first/early appearance story/stories" text, "release date" text )

SELECT "title" FROM table_204_696 ORDER BY "volume" DESC LIMIT 1

squall

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the number of patients discharged to psychiatric facility-partial hospitalization who had a (aorto)coronary bypass of three coronary arteries procedure?

CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, ...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND procedures.long_title = "(Aorto)coronary bypass of three coronary arteries"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Who was the coach for episode 15?

CREATE TABLE table_73286 ( "Season" real, "Episode" real, "Episode Summary" text, "Premier date" text, "External Link" text, "Coach" text )

SELECT "Coach" FROM table_73286 WHERE "Episode" = '15'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which of the events only lasted no more than 0:55?

CREATE TABLE table_71518 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Event" text, "Round" real, "Time" text, "Location" text )

SELECT "Event" FROM table_71518 WHERE "Time" = '0:55'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which Position has Goals For of 52, and Goals Against larger than 70?

CREATE TABLE table_79160 ( "Position" real, "Team" text, "Played" real, "Drawn" real, "Lost" real, "Goals For" real, "Goals Against" real, "Goal Difference" text, "Points 1" text )

SELECT MAX("Position") FROM table_79160 WHERE "Goals For" = '52' AND "Goals Against" > '70'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

how many current patients aged 30s are there?

CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE vitalperiodic ( ...

SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.hospitaldischargetime IS NULL AND patient.age BETWEEN 30 AND 39

eicu

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Create a bar chart showing how many allergytype across allergytype, and show Y from low to high order.

CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) CREATE TABLE Allergy_Type ( Allergy VARCHAR(20), ...

SELECT AllergyType, COUNT(AllergyType) FROM Allergy_Type GROUP BY AllergyType ORDER BY COUNT(AllergyType)

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Between EECS 540 and EECS 628 ; which is the easiest ?

CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_...

SELECT DISTINCT course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (course.number = 540 OR course.number = 628) AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN course AS COURSEalias1 ON ...

advising

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the lowest league goals that have 0 as the FA Cup Apps, with 1 (3) as totals apps?

CREATE TABLE table_name_46 ( league_goals INTEGER, fa_cup_apps VARCHAR, total_apps VARCHAR )

SELECT MIN(league_goals) FROM table_name_46 WHERE fa_cup_apps = "0" AND total_apps = "1 (3)"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

provide the number of patients admitted before the year 2165 and diagnosed with hepatitis, unspecified.

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2165" AND diagnoses.long_title = "Hepatitis, unspecified"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the name of the medicine that was prescribed to patient 005-77687 for the first time through the dialysis route in the last month?

CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9cod...

SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-77687')) AND medication.routeadmin = 'dialysis' AND DATETIME(me...

eicu

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Who is the trainer of the winner skylighter?

CREATE TABLE table_name_5 ( trainer VARCHAR, winner VARCHAR )

SELECT trainer FROM table_name_5 WHERE winner = "skylighter"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the game with the golden state warriors?

CREATE TABLE table_name_37 ( game VARCHAR, team VARCHAR )

SELECT game FROM table_name_37 WHERE team = "golden state warriors"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time.

CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEP...

SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

On what date did Contac 12 Hours of Sebring take place?

CREATE TABLE table_name_21 ( date VARCHAR, race VARCHAR )

SELECT date FROM table_name_21 WHERE race = "contac 12 hours of sebring"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What's the track for 1978?

CREATE TABLE table_7794 ( "Year" real, "Track" text, "50 cc" text, "125 cc" text, "Report" text )

SELECT "Track" FROM table_7794 WHERE "Year" = '1978'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

How many days in April has a record of 42 22 12 3, and less than 99 points?

CREATE TABLE table_name_98 ( april VARCHAR, record VARCHAR, points VARCHAR )

SELECT COUNT(april) FROM table_name_98 WHERE record = "42–22–12–3" AND points < 99

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What companyw as the constructor when the Time/Retired was collision, and a Grid of 11?

CREATE TABLE table_67299 ( "Driver" text, "Constructor" text, "Laps" text, "Time/Retired" text, "Grid" text )

SELECT "Constructor" FROM table_67299 WHERE "Time/Retired" = 'collision' AND "Grid" = '11'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

When has a Source of rasmussen reports?

CREATE TABLE table_42113 ( "Source" text, "Date" text, "Clinton" text, "Obama" text, "Undecided" text )

SELECT "Date" FROM table_42113 WHERE "Source" = 'rasmussen reports'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which urban area has a 2011 population of 5010?

CREATE TABLE table_1940144_1 ( urban_area VARCHAR, population_2011 VARCHAR )

SELECT urban_area FROM table_1940144_1 WHERE population_2011 = 5010

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the difference in years between the first volume published and the 13th volume published ?

CREATE TABLE table_204_843 ( id number, "volume" number, "year" text, "names" text, "articles" number, "pages" number, "images" number, "maps" number, "number of copies" number )

SELECT ABS((SELECT "year" FROM table_204_843 WHERE "volume" = 1) - (SELECT "year" FROM table_204_843 WHERE "volume" = 13))

squall

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Visualize the title and their total smallest ratings of the movie using a bar chart, show bar in desc order.

CREATE TABLE Movie ( mID int, title text, year int, director text ) CREATE TABLE Reviewer ( rID int, name text ) CREATE TABLE Rating ( rID int, mID int, stars int, ratingDate date )

SELECT T2.title, SUM(MIN(T1.stars)) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.title ORDER BY T2.title DESC

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the number of patients whose age is less than 68 and lab test fluid is joint fluid?

CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) C...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Joint Fluid"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What round has a position of F/C from Iowa College?

CREATE TABLE table_name_56 ( round VARCHAR, position VARCHAR, college VARCHAR )

SELECT round FROM table_name_56 WHERE position = "f/c" AND college = "iowa"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the sum of manufacturer , and group by attribute name, I want to show in desc by the x axis.

CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER ) CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL )

SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name DESC

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Return a pie chart on what is the average base price of different bed type? List bed type and average base price.

CREATE TABLE Rooms ( RoomId TEXT, roomName TEXT, beds INTEGER, bedType TEXT, maxOccupancy INTEGER, basePrice INTEGER, decor TEXT ) CREATE TABLE Reservations ( Code INTEGER, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate REAL, LastName TEXT, FirstName TEXT, Adul...

SELECT bedType, AVG(basePrice) FROM Rooms GROUP BY bedType

nvbench

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the smallest drawn with a position bigger than 10 and a played less than 20?

CREATE TABLE table_40505 ( "Position" real, "Team" text, "Points" real, "Played" real, "Drawn" real, "Lost" real, "Against" real, "Difference" text )

SELECT MIN("Drawn") FROM table_40505 WHERE "Position" > '10' AND "Played" < '20'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the point total for the Formula Renault 2.0 Italy series?

CREATE TABLE table_21795650_1 ( points VARCHAR, series VARCHAR )

SELECT COUNT(points) FROM table_21795650_1 WHERE series = "Formula Renault 2.0 Italy"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What date did Ben Gordon (8) have high assists?

CREATE TABLE table_name_20 ( date VARCHAR, high_assists VARCHAR )

SELECT date FROM table_name_20 WHERE high_assists = "ben gordon (8)"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which Affiliation has a Nickname of cougars?

CREATE TABLE table_47949 ( "Institution" text, "Location" text, "Founded" real, "Affiliation" text, "Nickname" text )

SELECT "Affiliation" FROM table_47949 WHERE "Nickname" = 'cougars'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

what is the record for score 1-3?

CREATE TABLE table_74139 ( "Game" real, "November" real, "Opponent" text, "Score" text, "Location/Attendance" text, "Record" text, "Points" real )

SELECT "Record" FROM table_74139 WHERE "Score" = '1-3'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which player has a place of t2?

CREATE TABLE table_name_4 ( player VARCHAR, place VARCHAR )

SELECT player FROM table_name_4 WHERE place = "t2"

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Which kind of part has the least number of faults? List the part name.

CREATE TABLE fault_log_parts ( fault_log_entry_id number, part_fault_id number, fault_status text ) CREATE TABLE engineer_skills ( engineer_id number, skill_id number ) CREATE TABLE skills ( skill_id number, skill_code text, skill_description text ) CREATE TABLE staff ( staff_id n...

SELECT T1.part_name FROM parts AS T1 JOIN part_faults AS T2 ON T1.part_id = T2.part_id GROUP BY T1.part_name ORDER BY COUNT(*) LIMIT 1

spider

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

how many patients whose diagnoses long title is diverticulosis of colon with hemorrhage and lab test fluid is blood?

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Diverticulosis of colon with hemorrhage" AND lab.fluid = "Blood"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the hometown of the player who is headed to Duke?

CREATE TABLE table_52468 ( "Player" text, "Height" text, "School" text, "Hometown" text, "College" text )

SELECT "Hometown" FROM table_52468 WHERE "College" = 'duke'

wikisql

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

What is the lowest Loss number when the Gain is less than 61 and the Avg/G is 6?

CREATE TABLE table_name_94 ( loss INTEGER, gain VARCHAR, avg_g VARCHAR )

SELECT MIN(loss) FROM table_name_94 WHERE gain < 61 AND avg_g = 6

sql_create_context

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Search questions by any keyword.

CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE PostHistoryTypes ( Id number, Name te...

SELECT p.CreationDate, p.Body, p.Id AS "post_link" FROM Posts AS p WHERE p.PostTypeId = 1 AND p.Body LIKE '%##keyword1##%' LIMIT 100

sede

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...

Calculate the total number of portuguese speaking patients.

CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( ...

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PORT"

mimicsql_data

[ [ 128000, 128006, 9125, 128007, 271, 38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1721, 4723, 220, 2366, 20, 271, 2675, 527, 264, 7941, 1887, 28175, 304, ...

[ [ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...