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
Short/thank you comments on ru/pt SO.
CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE...
SELECT c.Id AS "comment_link" FROM Comments AS c WHERE c.Text LIKE '%racias%' AND LENGTH(c.Text) < 20 ORDER BY c.CreationDate LIMIT 1000
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, ...
What country was the player with the score line 69-71-72-69=281 from?
CREATE TABLE table_45042 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )
SELECT "Country" FROM table_45042 WHERE "Score" = '69-71-72-69=281'
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, ...
Draw a bar chart for what is the average high temperature for each day of week?, and sort from low to high by the total number please.
CREATE TABLE weekly_weather ( station_id int, day_of_week text, high_temperature int, low_temperature int, precipitation real, wind_speed_mph int ) CREATE TABLE station ( id int, network_name text, services text, local_authority text ) CREATE TABLE route ( train_id int, ...
SELECT day_of_week, AVG(high_temperature) FROM weekly_weather GROUP BY day_of_week ORDER BY AVG(high_temperature)
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 Name has Apparent Magnitude smaller than 11.4, and R.A. (J2000) of 04h17m35.8s?
CREATE TABLE table_61573 ( "Name" text, "Type" text, "R.A. ( J2000 )" text, "Dec. ( J2000 )" text, "Redshift (km/ s )" text, "Apparent Magnitude" real )
SELECT "Name" FROM table_61573 WHERE "Apparent Magnitude" < '11.4' AND "R.A. ( J2000 )" = '04h17m35.8s'
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, ...
the least number of total appearances
CREATE TABLE table_204_159 ( id number, "name" text, "nation" text, "position" text, "league apps" number, "league goals" number, "fa cup apps" number, "fa cup goals" number, "total apps" number, "total goals" number )
SELECT MIN("total apps") FROM table_204_159
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 score on April 6, 2008?
CREATE TABLE table_36599 ( "Date" text, "Home Team" text, "Score" text, "Visiting Team" text, "Stadium" text )
SELECT "Score" FROM table_36599 WHERE "Date" = 'april 6, 2008'
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 the highest average point rating for a modern suspense show with 21 episodes?
CREATE TABLE table_11981 ( "Airing date" text, "English title (Chinese title)" text, "Number of episodes" real, "HD format" text, "Highest average point ratings" real, "Genre" text, "Official website" text )
SELECT SUM("Highest average point ratings") FROM table_11981 WHERE "Genre" = 'modern suspense' AND "Number of episodes" = '21'
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 FIS Nordic World Ski Championship years when the winter Olympics took place in 1968?
CREATE TABLE table_name_93 ( fis_nordic_world_ski_championships VARCHAR, winter_olympics VARCHAR )
SELECT fis_nordic_world_ski_championships FROM table_name_93 WHERE winter_olympics = 1968
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 building, room number, semester and year of all courses offered by Psychology department sorted by course titles.
CREATE TABLE SECTION ( building VARCHAR, room_number VARCHAR, semester VARCHAR, year VARCHAR, course_id VARCHAR ) CREATE TABLE course ( course_id VARCHAR, dept_name VARCHAR, title VARCHAR )
SELECT T2.building, T2.room_number, T2.semester, T2.year FROM course AS T1 JOIN SECTION AS T2 ON T1.course_id = T2.course_id WHERE T1.dept_name = 'Psychology' ORDER BY T1.title
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 first name and GPA of every student that has a GPA lower than average. Show bar chart.
CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10), DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4) ) CREATE TABLE COURSE ( CRS_CODE varchar(10), DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8) ...
SELECT STU_FNAME, SUM(STU_GPA) FROM STUDENT WHERE STU_GPA < (SELECT AVG(STU_GPA) FROM STUDENT) GROUP BY STU_FNAME
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 High Rebounds, when Location Attendance is 'Madison Square Garden Unknown', and when Date is 'May 18'?
CREATE TABLE table_49210 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Series" text )
SELECT "High rebounds" FROM table_49210 WHERE "Location Attendance" = 'madison square garden unknown' AND "Date" = 'may 18'
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, ...
Give me a histogram for what are the names of projects that require more than 300 hours, and how many scientists are assigned to each?
CREATE TABLE Scientists ( SSN int, Name Char(30) ) CREATE TABLE AssignedTo ( Scientist int, Project char(4) ) CREATE TABLE Projects ( Code Char(4), Name Char(50), Hours int )
SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name
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 game was in 2005?
CREATE TABLE table_name_85 ( game VARCHAR, year VARCHAR )
SELECT game FROM table_name_85 WHERE year = 2005
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 high scorer in the Toronto game?
CREATE TABLE table_48969 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "Location Attendance" text, "Record" text )
SELECT "High points" FROM table_48969 WHERE "Team" = 'toronto'
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 incumbent won the district of texas 22?
CREATE TABLE table_1341598_44 ( incumbent VARCHAR, district VARCHAR )
SELECT incumbent FROM table_1341598_44 WHERE district = "Texas 22"
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 number of patients whose ethnicity is black/african american and diagnoses short title is acute respiratry failure?
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 ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text,...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND diagnoses.short_title = "Acute respiratry failure"
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 Lijsttrekker, when Year is after 1990, and when Chair is 'Ingrid Van Engelshoven'?
CREATE TABLE table_name_51 ( lijsttrekker VARCHAR, year VARCHAR, chair VARCHAR )
SELECT lijsttrekker FROM table_name_51 WHERE year > 1990 AND chair = "ingrid van engelshoven"
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, ...
How many goals have Lost larger than 35, and Games smaller than 80?
CREATE TABLE table_15630 ( "Season" text, "Games" real, "Lost" real, "Tied" text, "Points" real, "Goals for" real, "Goals against" real, "Standing" text )
SELECT COUNT("Goals for") FROM table_15630 WHERE "Lost" > '35' AND "Games" < '80'
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 average of price supplied by supplier id 3 for different product type code in a bar chart, I want to show X in desc order.
CREATE TABLE Department_Stores ( dept_store_id INTEGER, dept_store_chain_id INTEGER, store_name VARCHAR(80), store_address VARCHAR(255), store_phone VARCHAR(80), store_email VARCHAR(80) ) CREATE TABLE Customer_Addresses ( customer_id INTEGER, address_id INTEGER, date_from DATETIME, ...
SELECT product_type_code, AVG(product_price) FROM Product_Suppliers AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3 GROUP BY product_type_code ORDER BY product_type_code 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 total number of platforms of locations in each location in a bar chart.
CREATE TABLE train_station ( Train_ID int, Station_ID int ) CREATE TABLE train ( Train_ID int, Name text, Time text, Service text ) CREATE TABLE station ( Station_ID int, Name text, Annual_entry_exit real, Annual_interchanges real, Total_Passengers real, Location text, ...
SELECT Location, SUM(Number_of_Platforms) FROM station GROUP BY Location
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, ...
Bring the number of patients less than 85 years who have colangitis as their primary disease.
CREATE TABLE procedures ( 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 ) ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "COLANGITIS" AND demographic.age < "85"
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 were the notes in 2011?
CREATE TABLE table_79309 ( "Year" real, "Competition" text, "Venue" text, "Position" text, "Notes" text )
SELECT "Notes" FROM table_79309 WHERE "Year" = '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, ...
what is the difference of weight last measured on the first hospital visit compared to the second to last value measured on the first hospital visit of patient 006-161415?
CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE patient ( uniquepid text, ...
SELECT (SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-161415' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) AND NOT patient.admissionweight IS NULL O...
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, ...
What are the attributes when the type is 'DOMNodeRemoved'?
CREATE TABLE table_19851 ( "Category" text, "Type" text, "Attribute" text, "Description" text, "Bubbles" text, "Cancelable" text )
SELECT "Attribute" FROM table_19851 WHERE "Type" = 'DOMNodeRemoved'
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 smallest production number for the LT series with the Dumb Patrol title?
CREATE TABLE table_65238 ( "Title" text, "Series" text, "Characters" text, "Production Num." real, "Release date" text )
SELECT MIN("Production Num.") FROM table_65238 WHERE "Series" = 'lt' AND "Title" = 'dumb patrol'
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, ...
first album released
CREATE TABLE table_204_394 ( id number, "year" number, "album" text, "label" text, "peak chart\npositions\nus" number, "peak chart\npositions\nus r&b" number )
SELECT "album" FROM table_204_394 ORDER BY "year" 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 diagnoses short title of subject name jane dillard?
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 diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Jane Dillard"
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, ...
When 00:02 is the total footage (mm:ss) what is the story number?
CREATE TABLE table_22666 ( "Doctor" text, "Season" text, "Story no." text, "Serial" text, "Number of episodes" text, "Total footage remaining from missing episodes (mm:ss)" text, "Missing episodes with recovered footage" text, "Country/Territory" text, "Source" text, "Format" tex...
SELECT "Story no." FROM table_22666 WHERE "Total footage (mm:ss)" = '00:02'
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 artist previous to july made blue ?
CREATE TABLE table_204_420 ( id number, "month" text, "song" text, "artist" text, "aggregate points" number, "total downloads" number, "year-end chart" number )
SELECT "artist" FROM table_204_420 WHERE "month" < 7 AND "song" = '"blue"'
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, ...
How many years have an Award of press award?
CREATE TABLE table_34625 ( "Award" text, "Year" real, "Category" text, "Work" text, "Result" text )
SELECT COUNT("Year") FROM table_34625 WHERE "Award" = 'press award'
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, ...
Specify the number of patients who had a family history of other specified malignant neoplasm that were treated with base drug
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 ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text,...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Family history of other specified malignant neoplasm" AND prescriptions.drug_type = "BASE"
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's the total of the Morse Taper number when the D (max) is 20 and the B (max) greater than 94?
CREATE TABLE table_name_1 ( morse_taper_number INTEGER, d__max_ VARCHAR, b__max_ VARCHAR )
SELECT SUM(morse_taper_number) FROM table_name_1 WHERE d__max_ = 20 AND b__max_ > 94
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 player has t7 as the place, with tje United States as the country?
CREATE TABLE table_58824 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" real )
SELECT "Player" FROM table_58824 WHERE "Place" = 't7' AND "Country" = 'united states'
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, ...
give me the number of patients whose year of birth is less than 2065 and procedure icd9 code is 9604?
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 < "2065" AND procedures.icd9_code = "9604"
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 Result of the dance Choreographed by Kelly Aykers?
CREATE TABLE table_name_44 ( results VARCHAR, choreographer VARCHAR )
SELECT results FROM table_name_44 WHERE choreographer = "kelly aykers"
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, ...
had patient 27392 given a lab test of total protein, body fluid in 2105?
CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses_icd ( row_...
SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'total protein, body fluid') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 27392) AND STRFTIME('%y', labevents.charttime) = '2105'
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 Winning score in 1956?
CREATE TABLE table_name_57 ( winning_score VARCHAR, year VARCHAR )
SELECT winning_score FROM table_name_57 WHERE year = 1956
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 each user, find their name and the number of reviews written by them Show bar chart, and I want to list by the names from low to high.
CREATE TABLE trust ( source_u_id integer, target_u_id integer, trust integer ) CREATE TABLE review ( a_id integer, u_id integer, i_id integer, rating integer, rank integer ) CREATE TABLE useracct ( u_id integer, name varchar(128) ) CREATE TABLE item ( i_id integer, tit...
SELECT name, COUNT(*) FROM useracct AS T1 JOIN review AS T2 ON T1.u_id = T2.u_id GROUP BY T2.u_id ORDER BY name
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 firm conducted a poll in August 2006?
CREATE TABLE table_14047 ( "Polling firm" text, "Dates" text, "Prog. Cons." text, "New Democratic" text, "Liberal" text )
SELECT "Polling firm" FROM table_14047 WHERE "Dates" = 'august 2006'
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 category number that was released in November 2007?
CREATE TABLE table_33994 ( "Artist" text, "Title" text, "Release date" text, "Format" text, "Cat. #" text )
SELECT "Cat. #" FROM table_33994 WHERE "Release date" = 'november 2007'
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, ...
Tell me the declination with NGC number larger than 5750
CREATE TABLE table_name_80 ( declination___j2000__ VARCHAR, ngc_number INTEGER )
SELECT declination___j2000__ FROM table_name_80 WHERE ngc_number > 5750
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 was the lowest round for Paul Hubbard?
CREATE TABLE table_name_21 ( round INTEGER, name VARCHAR )
SELECT MIN(round) FROM table_name_21 WHERE name = "paul hubbard"
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, ...
is there ground transportation from the DFW airport to downtown DALLAS
CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TA...
SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'DALLAS' AND ground_service.airpor...
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, ...
What was the budget for 'Thirteen Ghosts'?
CREATE TABLE table_24725 ( "Year" real, "Film" text, "Budget" text, "Domestic Box Office" text, "Foreign Box Office" text, "Total" text, "US DVD sales" text, "Total (with DVD sales)" text )
SELECT "Budget" FROM table_24725 WHERE "Film" = 'Thirteen Ghosts'
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 those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about department_id over the last_name by a bar chart.
CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) 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 regions ( REGION_...
SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
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 was the result of the election when Tic Forrester ran as an incumbent?
CREATE TABLE table_1342149_11 ( result VARCHAR, incumbent VARCHAR )
SELECT result FROM table_1342149_11 WHERE incumbent = "Tic Forrester"
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, ...
Count the number of people of each sex who have a weight higher than 85, I want to sort by the Y in desc.
CREATE TABLE people ( People_ID int, Sex text, Name text, Date_of_Birth text, Height real, Weight real ) CREATE TABLE candidate ( Candidate_ID int, People_ID int, Poll_Source text, Date text, Support_rate real, Consider_rate real, Oppose_rate real, Unsure_rate re...
SELECT Sex, COUNT(*) FROM people WHERE Weight > 85 GROUP BY Sex ORDER BY COUNT(*) 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, ...
When the USA's captain was Beth Daniel, who was the winning team?
CREATE TABLE table_42428 ( "Year" real, "Venue" text, "Winning team" text, "Score" text, "USA Captain" text, "Europe Captain" text )
SELECT "Winning team" FROM table_42428 WHERE "USA Captain" = 'beth daniel'
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 PLAYER HAS THE OAKLAND ATHLETICS?
CREATE TABLE table_61864 ( "Pick" real, "Player" text, "Team" text, "Position" text, "Hometown/School" text )
SELECT "Player" FROM table_61864 WHERE "Team" = 'oakland athletics'
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 Party has Years in Senate of , and Years in Assembly of 2012 present?
CREATE TABLE table_59661 ( "Name" text, "Residence" text, "Party" text, "Years in Assembly" text, "Years in Senate" text )
SELECT "Party" FROM table_59661 WHERE "Years in Senate" = '—' AND "Years in Assembly" = '2012–present'
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, ...
indicate the daily maximum amount of arterial bp mean for patient 4469 since 08/18/2100.
CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE icustays ( row_id number, ...
SELECT MAX(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 = 4469)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arter...
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, ...
which patients have lab test item id 51221?
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 lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51221"
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, ...
Next Winter , who 's teaching Sponsorship Linked Marketing ?
CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE cour...
SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN cou...
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, ...
Which Rank by average is the lowest one that has a Total of 425, and a Place larger than 1?
CREATE TABLE table_36250 ( "Rank by average" real, "Place" real, "Couple" text, "Total" real, "Number of dances" real, "Average" real )
SELECT MIN("Rank by average") FROM table_36250 WHERE "Total" = '425' AND "Place" > '1'
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, ...
Who is the Author/Editor/Source for more than 100 countries sampled and has a 35 world ranking?
CREATE TABLE table_name_86 ( author___editor___source VARCHAR, world_ranking__1_ VARCHAR, countries_sampled VARCHAR )
SELECT author___editor___source FROM table_name_86 WHERE world_ranking__1_ = "35" AND countries_sampled > 100
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, ...
Looking for posts by topic.
CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskResults ( I...
SELECT * FROM Posts WHERE CreationDate > '2017-1-1' AND CreationDate < '2017-5-5' AND Tags LIKE '%python%' LIMIT 10
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, ...
What is the Tournament in the Year of 1986?
CREATE TABLE table_name_21 ( tournament VARCHAR, year VARCHAR )
SELECT tournament FROM table_name_21 WHERE year = "1986"
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 airport is in Toronto?
CREATE TABLE table_45675 ( "City" text, "Country" text, "IATA" text, "ICAO" text, "Airport" text )
SELECT "Airport" FROM table_45675 WHERE "City" = 'toronto'
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 publishers that have more than one publication.
CREATE TABLE book ( book_id number, title text, issues number, writer text ) CREATE TABLE publication ( publication_id number, book_id number, publisher text, publication_date text, price number )
SELECT publisher FROM publication GROUP BY publisher HAVING COUNT(*) > 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, ...
What was the NFL Recap of the game held on December 24, 2005?
CREATE TABLE table_name_70 ( nfl_recap VARCHAR, date VARCHAR )
SELECT nfl_recap FROM table_name_70 WHERE date = "december 24, 2005"
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 age and diagnoses short title of subject id 2560?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ...
SELECT demographic.age, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "2560"
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 wrote episode 74?
CREATE TABLE table_22606 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text )
SELECT "Written by" FROM table_22606 WHERE "No. in series" = '74'
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 the athletic nickname of golden knights how many entries are shown for enrollment?
CREATE TABLE table_22171978_1 ( enrollment VARCHAR, athletic_nickname VARCHAR )
SELECT COUNT(enrollment) FROM table_22171978_1 WHERE athletic_nickname = "Golden Knights"
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 are the four most frequently prescribed medications for patients who were also prescribed with chlorthalidone at the same time until 2104?
CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE chartevents ( row_id nu...
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'chlorthalidone' AND STRFTIME('%y', prescriptions.startdate) <= '2...
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 overall of the player with a pick # higher than 13?
CREATE TABLE table_name_47 ( overall VARCHAR, pick__number INTEGER )
SELECT overall FROM table_name_47 WHERE pick__number < 13
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 size of the smallest crowd that watched a game at Arden Street Oval?
CREATE TABLE table_55217 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
SELECT MIN("Crowd") FROM table_55217 WHERE "Venue" = 'arden street oval'
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, ...
Name the total with one hand clean and jerk is 87.5 and snatch is 87.5
CREATE TABLE table_16779068_5 ( total VARCHAR, snatch VARCHAR, one_hand_clean_ VARCHAR, _jerk VARCHAR )
SELECT total FROM table_16779068_5 WHERE one_hand_clean_ & _jerk = "87.5" AND snatch = "87.5"
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 Score, when Player is 'Vijay Singh'?
CREATE TABLE table_60734 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )
SELECT "Score" FROM table_60734 WHERE "Player" = 'vijay singh'
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 sales did the single tic tic tac have ?
CREATE TABLE table_203_7 ( id number, "pos." number, "artist" text, "single" text, "year" number, "sales" number, "peak" number )
SELECT "sales" FROM table_203_7 WHERE "single" = '"tic, tic tac"'
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 composer has a duration time of 3:31?
CREATE TABLE table_name_8 ( composer VARCHAR, duration VARCHAR )
SELECT composer FROM table_name_8 WHERE duration = "3:31"
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 junior team is associated with an NHL pick by the Buffalo Sabres?
CREATE TABLE table_2850912_4 ( college_junior_club_team VARCHAR, nhl_team VARCHAR )
SELECT college_junior_club_team FROM table_2850912_4 WHERE nhl_team = "Buffalo Sabres"
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 who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of email and department_id .
CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), ...
SELECT EMAIL, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
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, ...
How many 07 A points for the team with 1.4902 average?
CREATE TABLE table_25887826_17 ( avg VARCHAR )
SELECT MAX(07 AS _a_pts) FROM table_25887826_17 WHERE avg = "1.4902"
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 all the employee ids and the names of the countries in which they work?, and list total number in asc order.
CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE T...
SELECT COUNTRY_NAME, SUM(EMPLOYEE_ID) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID JOIN locations AS T3 ON T2.LOCATION_ID = T3.LOCATION_ID JOIN countries AS T4 ON T3.COUNTRY_ID = T4.COUNTRY_ID GROUP BY COUNTRY_NAME ORDER BY SUM(EMPLOYEE_ID)
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, ...
how many patients under the age of 27 stayed in the hospital for more than 16 days?
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 COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "27" AND demographic.days_stay > "16"
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 classes will I be able to take once I complete ELI 533 ?
CREATE TABLE gsi ( course_offering_id int, student_id 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_tests int, ...
SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0 INNER JOIN course_prerequisite ON COURSE_0.course_id = course_prerequisite.course_id INNER JOIN course AS COURSE_1 ON COURSE_1.course_id = course_prerequisite.pre_course_id WHERE COURSE_1.department = 'ELI' AND COURSE_1.number =...
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, ...
Who was on the prohibition ticket when the Greenback ticket had Thomas Armstrong?
CREATE TABLE table_name_76 ( prohibition_ticket VARCHAR, greenback_ticket VARCHAR )
SELECT prohibition_ticket FROM table_name_76 WHERE greenback_ticket = "thomas armstrong"
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, ...
show me airports in WASHINGTON
CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE airline ( airline_code varchar, airline_name ...
SELECT DISTINCT airport.airport_code FROM airport, airport_service, city WHERE airport.airport_code = airport_service.airport_code AND city.city_code = airport_service.city_code AND city.city_name = 'WASHINGTON'
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, ...
do any of the CO flights from BOSTON to SAN FRANCISCO stop in DENVER
CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, applica...
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CI...
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, ...
What is the Theme Song of Iryu -Team Medical Dragon-2?
CREATE TABLE table_79255 ( "Japanese Title" text, "Romaji Title" text, "TV Station" text, "Theme Song(s)" text, "Episodes" real, "Average Ratings" text )
SELECT "Theme Song(s)" FROM table_79255 WHERE "Romaji Title" = 'iryu -team medical dragon-2'
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 team has Top division titles larger than 0, a Founded larger than 1927, and a Stadium of miguel grau?
CREATE TABLE table_name_69 ( team VARCHAR, stadium VARCHAR, top_division_titles VARCHAR, founded VARCHAR )
SELECT team FROM table_name_69 WHERE top_division_titles > 0 AND founded > 1927 AND stadium = "miguel grau"
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, ...
How many rebounds per game did Andrej D akovi average when playing 35 minutes per game?
CREATE TABLE table_4047 ( "Team" text, "Points per game" text, "Rebounds per game" text, "Assists per game" text, "Steals per game" text, "Minutes per game" text, "Ranking per game" text )
SELECT "Rebounds per game" FROM table_4047 WHERE "Minutes per game" = '35'
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 did the season finale ranked at 73 first air?
CREATE TABLE table_217785_2 ( season VARCHAR, ranking VARCHAR )
SELECT season AS finale FROM table_217785_2 WHERE ranking = 73
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 circuit when the date is 16 april?
CREATE TABLE table_name_60 ( circuit VARCHAR, date VARCHAR )
SELECT circuit FROM table_name_60 WHERE date = "16 april"
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 between total output and total input of patient 10855 on this month/22?
CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttim...
SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10855)) AND DATETIME(inputevents_cv.charttime, 'start of month') = DATETIME(CURREN...
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 Constellation, when Date Sent is 'September 4, 2001', and when Distance ( ly ) is less than 57.4?
CREATE TABLE table_60680 ( "HD designation" text, "Constellation" text, "Distance ( ly )" real, "Spectral type" text, "Signal power ( kW )" real, "Date sent" text, "Arrival date" text )
SELECT "Constellation" FROM table_60680 WHERE "Date sent" = 'september 4, 2001' AND "Distance ( ly )" < '57.4'
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, ...
How many credits does the department offer Show bar chart, and sort in ascending by the Y-axis.
CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10), DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4) ) CREATE TABLE EMPLOYEE ( EMP_NUM int, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_J...
SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE ORDER BY SUM(CRS_CREDIT)
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 relationship between School_ID and ACC_Percent , and group by attribute All_Neutral?
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 School_ID, ACC_Percent FROM basketball_match GROUP BY All_Neutral
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, ...
Compute the total the total number across budget type code as a pie chart.
CREATE TABLE Projects ( Project_ID INTEGER, Project_Details VARCHAR(255) ) CREATE TABLE Statements ( Statement_ID INTEGER, Statement_Details VARCHAR(255) ) CREATE TABLE Accounts ( Account_ID INTEGER, Statement_ID INTEGER, Account_Details VARCHAR(255) ) CREATE TABLE Ref_Budget_Codes ( ...
SELECT Budget_Type_Code, COUNT(*) FROM Documents_with_Expenses GROUP BY Budget_Type_Code
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 average Points when equipe ligier gauloises blondes is the entrant?
CREATE TABLE table_name_17 ( points INTEGER, entrant VARCHAR )
SELECT AVG(points) FROM table_name_17 WHERE entrant = "equipe ligier gauloises blondes"
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 School has an Enrollement smaller than 301?
CREATE TABLE table_name_76 ( school VARCHAR, enrollment INTEGER )
SELECT school FROM table_name_76 WHERE enrollment < 301
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 constellation for open cluster?
CREATE TABLE table_name_37 ( constellation VARCHAR, object_type VARCHAR )
SELECT constellation FROM table_name_37 WHERE object_type = "open cluster"
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 stage (winner) has thor hushovd as a general classification, and trent lowe as a rider classification?
CREATE TABLE table_name_3 ( stage__winner_ VARCHAR, general_classification VARCHAR, young_rider_classification VARCHAR )
SELECT stage__winner_ FROM table_name_3 WHERE general_classification = "thor hushovd" AND young_rider_classification = "trent lowe"
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 To Par, when Score is 70, and when Player is 'Craig Stadler'?
CREATE TABLE table_name_98 ( to_par VARCHAR, score VARCHAR, player VARCHAR )
SELECT to_par FROM table_name_98 WHERE score = 70 AND player = "craig stadler"
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 week was the opponent the San Diego Chargers?
CREATE TABLE table_name_71 ( week INTEGER, opponent VARCHAR )
SELECT AVG(week) FROM table_name_71 WHERE opponent = "san diego chargers"
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 was the final score in Robert F. Kennedy Memorial Stadium?
CREATE TABLE table_69369 ( "Date" text, "Visiting Team" text, "Final Score" text, "Host Team" text, "Stadium" text )
SELECT "Final Score" FROM table_69369 WHERE "Stadium" = 'robert f. kennedy memorial stadium'
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 probable future word for the simple present/future word high grade?
CREATE TABLE table_name_82 ( probable_future VARCHAR, simple_present_future VARCHAR )
SELECT probable_future FROM table_name_82 WHERE NOT simple_present_future = "high grade"
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, ...
Name the gp for ff being 0 and qbh being 1
CREATE TABLE table_1188 ( "Name" text, "GP" real, "Solo" real, "Ast" real, "Total" real, "TFL-Yds" text, "No-Yds" text, "BrUp" real, "QBH" real, "No.-Yds" text, "Avg" text, "TD" real, "Rcv-Yds" text, "FF" real, "Blkd Kick" real )
SELECT "GP" FROM table_1188 WHERE "FF" = '0' AND "QBH" = '1'
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 home team's score at brunswick street oval?
CREATE TABLE table_name_82 ( home_team VARCHAR, venue VARCHAR )
SELECT home_team AS score FROM table_name_82 WHERE venue = "brunswick street oval"
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, ...
Anonymous and Registered votes per user.
CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, ...
SELECT COUNT(VoteTypeId) AS Downvotes, Posts.Id AS "post_link" FROM PostFeedback LEFT JOIN Posts ON PostId = Posts.Id WHERE VoteTypeId = 3 GROUP BY Posts.Id ORDER BY Downvotes DESC
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, ...