input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.isEnglish = 'F' GROUP BY T2.genre ORDER BY COUNT(T1.movieid) DESC LIMIT 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T1.actorid, T2.directorid FROM movies2actors AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.movieid = 1949144; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(IIF(T3.a_quality >= 3, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T1.country = 'UK'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(IIF(T2.avg_revenue > T2.d_quality, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN directors AS T2 ON T1.directorid = T2.directorid WHERE T1.genre = 'Action'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T1.actorid FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime = 2 AND T1.isEnglish = 'T'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'France' GROUP BY T2.actorid HAVING COUNT(T1.movieid) > 2; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T2.cast_num > 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 1 AND T2.cast_num = 0; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T1.actorid) FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' OR T2.country = 'UK'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T1.directorid) FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.avg_revenue = 4 AND (T2.genre = 'Adventure' OR T2.genre = 'Action'); |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T1.directorid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality >= 3 GROUP BY T1.directorid HAVING COUNT(T2.movieid) >= 2; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T2.genre = 'comedy'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4 AND T1.genre IN ('Action', 'drama'); |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T1.movieid FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.runningtime >= 2 AND T1.genre = 'Horror'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(IIF(T1.rating = 1, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(DISTINCT T1.movieid) FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T2.rating = 1 AND T1.genre = 'comedy'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT DISTINCT T1.avg_revenue FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 5; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(movieid) FROM movies WHERE country = 'France' AND movieid IN ( SELECT movieid FROM u2base WHERE rating = ( SELECT MAX(rating) FROM u2base ) ); |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.movieid FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T1.age = 25 GROUP BY T2.movieid ORDER BY COUNT(T1.userid) DESC LIMIT 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(DISTINCT T2.userid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T2.userid = T3.userid WHERE T1.country = 'UK' AND T3.age = 35; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T1.userid, T1.age FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.movieid = '2409051' AND T2.rating = 2; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 5 AND T2.year = 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'France' AND T1.rating = 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country IN ('France', 'USA'); |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(DISTINCT T2.actorid) FROM u2base AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 5; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.movieid FROM u2base AS T2 INNER JOIN movies2directors AS T3 ON T2.movieid = T3.movieid WHERE T3.genre = 'Crime' GROUP BY T2.movieid ORDER BY AVG(T2.rating) LIMIT 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(IIF(T3.a_gender = 'M', 1, 0)) AS REAL) / SUM(IIF(T3.a_gender = 'F', 1, 0)) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T1.country = 'UK'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T1.userid) FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.rating = 3 AND T2.movieid = '1711133' AND T1.age = 35 AND T1.u_gender = 'F'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T2.userid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'UK' AND T1.runningtime = 2 AND T2.rating = 1 AND T1.year = 2; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT DISTINCT T1.directorid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 3 AND T1.avg_revenue = 2 AND T2.genre != 'Comedy'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(IIF(T2.cast_num = 2 AND T1.a_quality = 2, 1, 0)) AS REAL) * 100 / COUNT(T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid WHERE T2.movieid = 1672580 AND T1.a_gender = 'F'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(IIF(a_gender = 'M', 1, 0)) AS REAL) / SUM(IIF(a_gender = 'F', 1, 0)) FROM actors WHERE a_quality = 0; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT actorid FROM movies2actors GROUP BY actorid ORDER BY COUNT(movieid) DESC LIMIT 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT genre FROM movies2directors GROUP BY genre ORDER BY COUNT(movieid) DESC LIMIT 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.genre FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 0 GROUP BY T2.genre ORDER BY COUNT(T2.movieid) DESC LIMIT 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.movieid FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.isEnglish = 'F' AND T1.country = 'USA' ORDER BY T2.rating LIMIT 1; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(CASE WHEN T1.d_quality = 4 AND T1.avg_revenue = 4 THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.movieid) FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.movieid FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T1.u_gender = 'F' AND T1.occupation = 3 AND T2.rating = 5; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT SUM(IIF(T1.a_gender = 'F', 1, 0)) , T3.country, T3.runningtime FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T2.movieid = 2312852 GROUP BY T3.country, T3.runningtime; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid INNER JOIN directors AS T3 ON T1.directorid = T3.directorid WHERE T1.genre = 'horror' AND T3.d_quality = 0; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime <= 2 AND T1.isEnglish = 'T' AND T1.country = 'other'; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN u2base AS T3 ON T1.movieid = T3.movieid INNER JOIN users AS T4 ON T3.userid = T4.userid WHERE T1.country = 'UK' AND T2.genre = 'Comedy' AND T1.runningtime = 3 AND T3.rating = 5 AND T4.age BETWEEN 45 AND ... |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT CAST(SUM(IIF(T1.isEnglish = 'T', 1, 0)) - SUM(IIF(T1.isEnglish = 'F', 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'other' AND T1.year = 3; |
[INST] Here is a database schema:
users :
userid [ INTEGER ] primary_key
age [ TEXT ]
u_gender [ TEXT ]
occupation [ TEXT ]
directors :
directorid [ INTEGER ] primary_key
d_quality [ INTEGER ]
avg_revenue [ INTEGER ]
actors :
actorid [ INTEGER ] primary_key
a_gender [ TEXT ]
a_quality [ INTEGER ]
movies :
movieid [ ... | SELECT SUM(IIF(a_gender = 'M', 1, 0)) , SUM(IIF(a_gender = 'F', 1, 0)) , CAST(SUM(IIF(a_quality = 5, 1, 0)) AS REAL) * 100 / COUNT(*) , CAST(SUM(IIF(a_quality = 0, 1, 0)) AS REAL) * 100 / COUNT(*), ( SELECT directorid FROM movies2directors WHERE movieid = 1684910 ) , ( SELECT genre FROM movies2directors WHERE movieid =... |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'CA-2011-112326'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT MAX(strftime('%J', `Ship Date`) - strftime('%J', `Order Date`)) AS longestTimeDays FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T2.`Ship Mode` = 'Standard Class'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Order ID` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby' GROUP BY T2.`Product ID` HAVING COUNT(T2.`Product ID`) > 3; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T3.Category = 'Furniture' AND T1.`Customer Name` = 'Aimee Bixby'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND STRFTIME('%Y', T2.`Ship Date`) = '2016'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Quantity) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Telescoping Adjustable Floor Lamp'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T1.`Customer Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T3.`Product Name` = 'Telescoping Adjustable Floor Lamp'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T1.`Customer Name`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T3.`Product Name` = 'Telescoping Adjustable Floor Lamp' AND T1.Segment = 'Consumer'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T2.Quantity) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952' AND T2.`Order Date` = '2014-09-10'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.Sales / (1 - T2.Discount) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952' AND T2.`Order Date` = '2014-09-10'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT (T2.Sales / (1 - T2.discount)) * T2.Quantity - Profit FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952' AND T2.`Order Dat... |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T1.`Product ID`) FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Sub-Category` = 'Art' AND T1.Region = 'East' AND STRFTIME('%Y', T1.`Order Date`) = '2013'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` GROUP BY T1.`Order ID`, T2.`Customer Name` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` ORDER BY (T1.Sales / (1 - T1.Discount)) DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Darren Powers' ORDER BY T2.`Order Date` DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Quantity) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Advantus Plastic Paper Clips'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T1.`Order ID` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Logitech G600 MMO Gaming Mouse' GROUP BY T1.`Order ID` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Alejandro Grove'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T1.`Customer ID`) FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Cardinal EasyOpen D-Ring Binders' AND T2.City = 'Chicago' AND T1.Quantity > 10; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name` FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.Profit > 1000; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'First Class' AND T2.Region = 'East' LIMIT 10; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Becky Martin' AND T3.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'West' AND T1.`Ship Mode` = 'Second Class' LIMIT 5; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T2.Profit) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Patrick Gardner' AND T1.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Date` = '2013-03-04' AND T2.Region = 'South' AND T1.`Order Date` = '2013-03-04'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Sales) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Avery Hi-Liter EverBold Pen Style Fluorescent Highlighters, 4/Pack' AND T2.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T3.`Product Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Jonathan Doherty' AND T2.Region = 'East' ORDER BY T1.Quantity DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Quantity), T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Date` = '2015-03-25' AND T2.Region = 'East'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Global High-Back Leather Tilter, Burgundy' AND T1.`Order Date` = '2013-10-13' AND T1.Region = 'East'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.Category FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Katherine Murray' AND T1.`Order Date` = '2018-11-04' AND T2.Region = 'South'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT CAST(SUM(CASE WHEN T2.Category = 'Furniture' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(T1.Quantity) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'West' AND T1.`Ship Mode` = 'Standard Class'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Ship Date` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Ann Chong' AND T1.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.Segment FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'West' AND T1.`Order ID` = 'CA-2011-108189'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Sales) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Hon Valutask Swivel Chairs' AND T1.Region = 'West'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T1.`Order ID` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Region = 'South' AND T2.`Customer Name` = 'Frank Olsen'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order Date` = '2018-04-26' AND T1.`Ship Date` = '2018-04-27' AND T2.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T5.City, T5.State FROM west_superstore AS T1 INNER JOIN east_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN central_superstore AS T3 ON T3.`Customer ID` = T2.`Customer ID` INNER JOIN south_superstore AS T4 ON T4.`Customer ID` = T3.`Customer ID` INNER JOIN people AS T5 ON T5.`Customer ID` = T4... |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'East' ORDER BY T1.Profit DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T1.Quantity FROM west_superstore AS T1 INNER JOIN east_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN central_superstore AS T3 ON T3.`Customer ID` = T2.`Customer ID` INNER JOIN south_superstore AS T4 ON T4.`Customer ID` = T3.`Customer ID` INNER JOIN people AS T5 ON T5.`Customer ID` = T4.`Cust... |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T1.`Order Date`, T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'CA-2011-137274' AND T2.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T1.Region = 'South' AND T3.`Product Name` = 'Xerox 23'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Category = 'Office Supplies' AND T2.Region = 'Central' ORDER BY T1.Sales DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'West' ORDER BY T1.Discount DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'East' AND T1.Profit > ( SELECT AVG(Profit) * 0.98 FROM east_superstore ); |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'East' AND T1.Sales / (1 - T1.Discount) * T1.Quantity - T1.Profit > 80000; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T1.`Order ID`) FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.`Customer Name` = 'Maxwell Schwartz' AND STRFTIME('%Y', T1.`Order Date`) = '2015'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM central_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Bush Mission Pointe Library' AND T3.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Profit) + SUM(T2.Profit) + SUM(T3.Profit) + SUM(T4.Profit) AS totalProfit FROM west_superstore AS T1 INNER JOIN east_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN central_superstore AS T3 ON T3.`Customer ID` = T2.`Customer ID` INNER JOIN south_superstore AS T4 ON T4.`Customer ID` = T3... |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Anne McFarland'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.City = 'Coachella'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT east, west FROM ( SELECT COUNT(`Order ID`) AS east , ( SELECT COUNT(`Order ID`) FROM west_superstore WHERE `Order Date` LIKE '2015%' ) AS west FROM east_superstore WHERE `Order Date` LIKE '2015%' ); |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Matt Abelman' AND STRFTIME('%Y', T1.`Order Date`) = '2013'; |
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