id string | db_id string | question string | qpl list | qd list | conversations list |
|---|---|---|---|---|---|
0a2838a47be1e48b6121e036b8860745b0834753874e458fa4f71d67debac510_1 | culture_company | Show all director names who have a movie in year 1999. | [
"#1 = Scan Table [ movie ] Predicate [ Year = 2000 ] Output [ Year , Director ]"
] | [
"Show all director names who have a movie in year 1999."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
0a2838a47be1e48b6121e036b8860745b0834753874e458fa4f71d67debac510_2 | culture_company | Show all director names who have a movie in year 2000. | [
"#1 = Scan Table [ movie ] Predicate [ Year = 1999 ] Output [ Year , Director ]"
] | [
"Show all director names who have a movie in year 2000."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
b1ab4ae9c806b123a51020cf12eea2e492c04e6c4e6149f15f46daca7a9c5fa5_0 | culture_company | Show all director names who have a movie in the year 1999 or 2000. | [
"#1 = Scan Table [ movie ] Predicate [ Year = 1999 OR Year = 2000 ] Output [ Year , Director ]"
] | [
"Show all director names who have a movie in the year 1999 or 2000."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
f3141f8828a1e0d82a8365f1ff125d44598d5f33904ba17eab677fdf5ade4c56_0 | culture_company | Which directors had a movie in either 1999 or 2000? | [
"#1 = Scan Table [ movie ] Predicate [ Year = 1999 OR Year = 2000 ] Output [ Year , Director ]"
] | [
"Which directors had a movie in either 1999 or 2000?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
b1d9a20222ea59b418ab562e17824bcfc6a7be6f7816a5eed948abc9f1791021_0 | culture_company | Return the average, maximum, and minimum budgets in millions for movies made before the year 2000. | [
"#1 = Scan Table [ movie ] Predicate [ Year < 2000 ] Output [ Budget_million , Year ]",
"#2 = Aggregate [ #1 ] Output [ AVG(Budget_million) AS Avg_Budget_million , MAX(Budget_million) AS Max_Budget_million , MIN(Budget_million) AS Min_Budget_million ]"
] | [
"Return the budgets in millions for movies made before the year 2000.",
"Return the average, maximum, and minimum budgets in millions for movies made before the year 2000."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
b1d9a20222ea59b418ab562e17824bcfc6a7be6f7816a5eed948abc9f1791021_1 | culture_company | Return the budgets in millions for movies made before the year 2000. | [
"#1 = Scan Table [ movie ] Predicate [ Year < 2000 ] Output [ Budget_million , Year ]"
] | [
"Return the budgets in millions for movies made before the year 2000."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
4532913006201fc6b3cfebefb816ab9e5d4ebd6cdbf1d08a7b6d3e331bc34ddc_0 | culture_company | Return the average, maximum, and minimum budgets in millions for movies made before the year 2000. | [
"#1 = Scan Table [ movie ] Predicate [ Year < 2000 ] Output [ Budget_million , Year ]",
"#2 = Aggregate [ #1 ] Output [ AVG(Budget_million) AS Avg_Budget_million , MAX(Budget_million) AS Max_Budget_million , MIN(Budget_million) AS Min_Budget_million ]"
] | [
"Return the budgets in millions for movies made before the year 2000.",
"Return the average, maximum, and minimum budgets in millions for movies made before the year 2000."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
4532913006201fc6b3cfebefb816ab9e5d4ebd6cdbf1d08a7b6d3e331bc34ddc_1 | culture_company | Return the budgets in millions for movies made before the year 2000. | [
"#1 = Scan Table [ movie ] Predicate [ Year < 2000 ] Output [ Budget_million , Year ]"
] | [
"Return the budgets in millions for movies made before the year 2000."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
0ee9ed3b1cb490f4f9b5650ac9c72ca89090d1f8ccc9ad0612fe7471a6069c1f_0 | culture_company | List all company names with a book published by Alyson. | [
"#1 = Scan Table [ book_club ] Predicate [ Publisher = 'Alyson' ] Output [ book_club_id , Publisher ]",
"#2 = Scan Table [ culture_company ] Output [ Company_name , book_club_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.book_club_id = #2.book_club_id ] Output [ #2.Company_name ]"
] | [
"List all book club ids that published by Alyson.",
"List the names and book club ids of all companies.",
"List all company names with a book published by Alyson."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
0ee9ed3b1cb490f4f9b5650ac9c72ca89090d1f8ccc9ad0612fe7471a6069c1f_1 | culture_company | List all book club ids that published by Alyson. | [
"#1 = Scan Table [ book_club ] Predicate [ Publisher = 'Alyson' ] Output [ book_club_id , Publisher ]"
] | [
"List all book club ids that published by Alyson."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
0ee9ed3b1cb490f4f9b5650ac9c72ca89090d1f8ccc9ad0612fe7471a6069c1f_2 | culture_company | List the names and book club ids of all companies. | [
"#1 = Scan Table [ culture_company ] Output [ Company_name , book_club_id ]"
] | [
"List the names and book club ids of all companies."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
b2149d1260bfd28b9d71d73cbed46ffc1ad198ce64c9e1a22cb68454692b42ce_0 | culture_company | List all company names with a book published by Alyson. | [
"#1 = Scan Table [ book_club ] Predicate [ Publisher = 'Alyson' ] Output [ book_club_id , Publisher ]",
"#2 = Scan Table [ culture_company ] Output [ Company_name , book_club_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.book_club_id = #2.book_club_id ] Output [ #2.Company_name ]"
] | [
"List all book club ids that published by Alyson.",
"List the names and book club ids of all companies.",
"List all company names with a book published by Alyson."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
b2149d1260bfd28b9d71d73cbed46ffc1ad198ce64c9e1a22cb68454692b42ce_1 | culture_company | List all book club ids that published by Alyson. | [
"#1 = Scan Table [ book_club ] Predicate [ Publisher = 'Alyson' ] Output [ book_club_id , Publisher ]"
] | [
"List all book club ids that published by Alyson."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
b2149d1260bfd28b9d71d73cbed46ffc1ad198ce64c9e1a22cb68454692b42ce_2 | culture_company | List the names and book club ids of all companies. | [
"#1 = Scan Table [ culture_company ] Output [ Company_name , book_club_id ]"
] | [
"List the names and book club ids of all companies."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
49d074b416a4dd8cfa1255a8b8c3677597402732074d693046faef4b0d7e1d96_0 | culture_company | What are the titles of movies and books corresponding to companies incorporated in China? | [
"#1 = Scan Table [ culture_company ] Predicate [ Incorporated_in = 'China' ] Output [ movie_id , Incorporated_in , book_club_id ]",
"#2 = Scan Table [ book_club ] Output [ Book_Title , book_club_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.book_club_id = #2.book_club_id ] Output [ #1.movie_id , #2.Book_Title ]"... | [
"What are the ids of movies and books corresponding to companies incorporated in China?",
"What are the ids and titles of all books?",
"What are the ids of movies and titles of books corresponding to companies incorporated in China?",
"What are the ids and titles of all movies?",
"What are the titles of mov... | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
49d074b416a4dd8cfa1255a8b8c3677597402732074d693046faef4b0d7e1d96_1 | culture_company | What are the ids of movies and titles of books corresponding to companies incorporated in China? | [
"#1 = Scan Table [ culture_company ] Predicate [ Incorporated_in = 'China' ] Output [ movie_id , Incorporated_in , book_club_id ]",
"#2 = Scan Table [ book_club ] Output [ Book_Title , book_club_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.book_club_id = #2.book_club_id ] Output [ #1.movie_id , #2.Book_Title ]"... | [
"What are the ids of movies and books corresponding to companies incorporated in China?",
"What are the ids and titles of all books?",
"What are the ids of movies and titles of books corresponding to companies incorporated in China?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
49d074b416a4dd8cfa1255a8b8c3677597402732074d693046faef4b0d7e1d96_2 | culture_company | What are the ids and titles of all movies? | [
"#1 = Scan Table [ movie ] Output [ movie_id , Title ]"
] | [
"What are the ids and titles of all movies?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
49d074b416a4dd8cfa1255a8b8c3677597402732074d693046faef4b0d7e1d96_3 | culture_company | What are the ids of movies and books corresponding to companies incorporated in China? | [
"#1 = Scan Table [ culture_company ] Predicate [ Incorporated_in = 'China' ] Output [ movie_id , Incorporated_in , book_club_id ]"
] | [
"What are the ids of movies and books corresponding to companies incorporated in China?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
49d074b416a4dd8cfa1255a8b8c3677597402732074d693046faef4b0d7e1d96_4 | culture_company | What are the ids and titles of all books? | [
"#1 = Scan Table [ book_club ] Output [ Book_Title , book_club_id ]"
] | [
"What are the ids and titles of all books?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
4201872099b5af8165cb972172bd96e6613cc446a0adb3ec9f32598a5f68dea2_0 | culture_company | What are the titles of movies and books corresponding to companies incorporated in China? | [
"#1 = Scan Table [ culture_company ] Predicate [ Incorporated_in = 'China' ] Output [ movie_id , Incorporated_in , book_club_id ]",
"#2 = Scan Table [ book_club ] Output [ Book_Title , book_club_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.book_club_id = #2.book_club_id ] Output [ #1.movie_id , #2.Book_Title ]"... | [
"What are the ids of movies and books corresponding to companies incorporated in China?",
"What are the ids and titles of all books?",
"What are the ids of movies and titles of books corresponding to companies incorporated in China?",
"What are the ids and titles of all movies?",
"What are the titles of mov... | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
4201872099b5af8165cb972172bd96e6613cc446a0adb3ec9f32598a5f68dea2_1 | culture_company | What are the ids of movies and titles of books corresponding to companies incorporated in China? | [
"#1 = Scan Table [ culture_company ] Predicate [ Incorporated_in = 'China' ] Output [ movie_id , Incorporated_in , book_club_id ]",
"#2 = Scan Table [ book_club ] Output [ Book_Title , book_club_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.book_club_id = #2.book_club_id ] Output [ #1.movie_id , #2.Book_Title ]"... | [
"What are the ids of movies and books corresponding to companies incorporated in China?",
"What are the ids and titles of all books?",
"What are the ids of movies and titles of books corresponding to companies incorporated in China?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
4201872099b5af8165cb972172bd96e6613cc446a0adb3ec9f32598a5f68dea2_2 | culture_company | What are the ids and titles of all movies? | [
"#1 = Scan Table [ movie ] Output [ movie_id , Title ]"
] | [
"What are the ids and titles of all movies?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
4201872099b5af8165cb972172bd96e6613cc446a0adb3ec9f32598a5f68dea2_3 | culture_company | What are the ids of movies and books corresponding to companies incorporated in China? | [
"#1 = Scan Table [ culture_company ] Predicate [ Incorporated_in = 'China' ] Output [ movie_id , Incorporated_in , book_club_id ]"
] | [
"What are the ids of movies and books corresponding to companies incorporated in China?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
4201872099b5af8165cb972172bd96e6613cc446a0adb3ec9f32598a5f68dea2_4 | culture_company | What are the ids and titles of all books? | [
"#1 = Scan Table [ book_club ] Output [ Book_Title , book_club_id ]"
] | [
"What are the ids and titles of all books?"
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
090723569d12795e76d1ee66d08ccc1a6f5c3fe684f8800ee785ecc12f4c6e72_0 | culture_company | Show all company names with a movie directed in year 1999. | [
"#1 = Scan Table [ movie ] Predicate [ Year = 1999 ] Output [ movie_id , Year ]",
"#2 = Scan Table [ culture_company ] Output [ Company_name , movie_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.movie_id = #2.movie_id ] Output [ #2.Company_name ]"
] | [
"Show all movie ids directed in year 1999.",
"Show the names and movie ids of all companies.",
"Show all company names with a movie directed in year 1999."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
090723569d12795e76d1ee66d08ccc1a6f5c3fe684f8800ee785ecc12f4c6e72_1 | culture_company | Show all movie ids directed in year 1999. | [
"#1 = Scan Table [ movie ] Predicate [ Year = 1999 ] Output [ movie_id , Year ]"
] | [
"Show all movie ids directed in year 1999."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
090723569d12795e76d1ee66d08ccc1a6f5c3fe684f8800ee785ecc12f4c6e72_2 | culture_company | Show the names and movie ids of all companies. | [
"#1 = Scan Table [ culture_company ] Output [ Company_name , movie_id ]"
] | [
"Show the names and movie ids of all companies."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
e43b6d294e0d84485f42180818ade78ffc51da852af70dcd1692d644f474a222_0 | culture_company | Show all company names with a movie directed in year 1999. | [
"#1 = Scan Table [ movie ] Predicate [ Year = 1999 ] Output [ movie_id , Year ]",
"#2 = Scan Table [ culture_company ] Output [ Company_name , movie_id ]",
"#3 = Join [ #1 , #2 ] Predicate [ #1.movie_id = #2.movie_id ] Output [ #2.Company_name ]"
] | [
"Show all movie ids directed in year 1999.",
"Show the names and movie ids of all companies.",
"Show all company names with a movie directed in year 1999."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
e43b6d294e0d84485f42180818ade78ffc51da852af70dcd1692d644f474a222_1 | culture_company | Show all movie ids directed in year 1999. | [
"#1 = Scan Table [ movie ] Predicate [ Year = 1999 ] Output [ movie_id , Year ]"
] | [
"Show all movie ids directed in year 1999."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
e43b6d294e0d84485f42180818ade78ffc51da852af70dcd1692d644f474a222_2 | culture_company | Show the names and movie ids of all companies. | [
"#1 = Scan Table [ culture_company ] Output [ Company_name , movie_id ]"
] | [
"Show the names and movie ids of all companies."
] | [
{
"content": "You are a question decomposition expert. You are given a database schema and a complex database input question in natural language, and your task is to break down the complex database input question into simpler sub-questions in a recursive way, like a tree. In each step you will be given a questi... |
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