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Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title_language` Expanded column name: `` Data type: TEXT Description: By default, the title is in English. Value description: Only contains one value which is 'en' Example of values in the column: `en` Question: Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. HINT: released in the year 1945 refers to movie_release_year = 1945; Please respond with only "Yes" or "No".

SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_id` Expanded column name: `` Data type: TEXT Description: ID related to the movie director on Mubi Example of values in the column: `131` Question: Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. HINT: released in the year 1945 refers to movie_release_year = 1945; Please respond with only "Yes" or "No".

SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_url` Expanded column name: `` Data type: TEXT Description: URL to the movie page on Mubi Example of values in the column: `http://mubi.com/films/la-antena` Question: Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. HINT: released in the year 1945 refers to movie_release_year = 1945; Please respond with only "Yes" or "No".

SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. HINT: released in the year 1945 refers to movie_release_year = 1945; Please respond with only "Yes" or "No".

SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_release_year` Expanded column name: `` Data type: INTEGER Description: Release year of the movie Example of values in the column: `2007` Question: Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. HINT: released in the year 1945 refers to movie_release_year = 1945; Please respond with only "Yes" or "No".

SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. HINT: released in the year 1945 refers to movie_release_year = 1945; Please respond with only "Yes" or "No".

SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_id` Expanded column name: `` Data type: TEXT Description: ID related to the movie director on Mubi Example of values in the column: `131` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_url` Expanded column name: `` Data type: TEXT Description: URL to the movie director page on Mubi Example of values in the column: `http://mubi.com/cast/esteban-sapir` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title_language` Expanded column name: `` Data type: TEXT Description: By default, the title is in English. Value description: Only contains one value which is 'en' Example of values in the column: `en` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_image_url` Expanded column name: `` Data type: TEXT Description: Image URL to the movie on Mubi Example of values in the column: `https://images.mubicdn.net/images/film/1/cache-7927-1581389497/image-w1280.jpg` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_release_year` Expanded column name: `` Data type: INTEGER Description: Release year of the movie Example of values in the column: `2007` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_name` Expanded column name: `` Data type: TEXT Description: Full Name of the movie director Example of values in the column: `Esteban Sapir` Question: State the most popular movie? When was it released and who is the director for the movie? HINT: most popular movie refers to MAX(movie_popularity); when it was released refers to movie_release_year; director for the movie refers to director_name; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title_language` Expanded column name: `` Data type: TEXT Description: By default, the title is in English. Value description: Only contains one value which is 'en' Example of values in the column: `en` Question: What is the name of the longest movie title? When was it released? HINT: longest movie title refers to MAX(LENGTH(movie_title)); when it was released refers to movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_url` Expanded column name: `` Data type: TEXT Description: URL to the movie page on Mubi Example of values in the column: `http://mubi.com/films/la-antena` Question: What is the name of the longest movie title? When was it released? HINT: longest movie title refers to MAX(LENGTH(movie_title)); when it was released refers to movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_image_url` Expanded column name: `` Data type: TEXT Description: Image URL to the movie on Mubi Example of values in the column: `https://images.mubicdn.net/images/film/1/cache-7927-1581389497/image-w1280.jpg` Question: What is the name of the longest movie title? When was it released? HINT: longest movie title refers to MAX(LENGTH(movie_title)); when it was released refers to movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: What is the name of the longest movie title? When was it released? HINT: longest movie title refers to MAX(LENGTH(movie_title)); when it was released refers to movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_release_year` Expanded column name: `` Data type: INTEGER Description: Release year of the movie Example of values in the column: `2007` Question: What is the name of the longest movie title? When was it released? HINT: longest movie title refers to MAX(LENGTH(movie_title)); when it was released refers to movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: What is the name of the longest movie title? When was it released? HINT: longest movie title refers to MAX(LENGTH(movie_title)); when it was released refers to movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: Name the movie with the most ratings. HINT: movie with the most rating refers to MAX(SUM(rating_score)); Please respond with only "Yes" or "No".

SELECT movie_title FROM movies GROUP BY movie_title ORDER BY COUNT(movie_title) DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: Name the movie with the most ratings. HINT: movie with the most rating refers to MAX(SUM(rating_score)); Please respond with only "Yes" or "No".

SELECT movie_title FROM movies GROUP BY movie_title ORDER BY COUNT(movie_title) DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_id` Expanded column name: `` Data type: TEXT Description: ID related to the movie director on Mubi Example of values in the column: `131` Question: What is the average number of Mubi users who love movies directed by Stanley Kubrick? HINT: average = AVG(movie_popularity); number of Mubi users who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT AVG(movie_popularity) FROM movies WHERE director_name = 'Stanley Kubrick'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_image_url` Expanded column name: `` Data type: TEXT Description: Image URL to the movie on Mubi Example of values in the column: `https://images.mubicdn.net/images/film/1/cache-7927-1581389497/image-w1280.jpg` Question: What is the average number of Mubi users who love movies directed by Stanley Kubrick? HINT: average = AVG(movie_popularity); number of Mubi users who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT AVG(movie_popularity) FROM movies WHERE director_name = 'Stanley Kubrick'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: What is the average number of Mubi users who love movies directed by Stanley Kubrick? HINT: average = AVG(movie_popularity); number of Mubi users who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT AVG(movie_popularity) FROM movies WHERE director_name = 'Stanley Kubrick'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_name` Expanded column name: `` Data type: TEXT Description: Full Name of the movie director Example of values in the column: `Esteban Sapir` Question: What is the average number of Mubi users who love movies directed by Stanley Kubrick? HINT: average = AVG(movie_popularity); number of Mubi users who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT AVG(movie_popularity) FROM movies WHERE director_name = 'Stanley Kubrick'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: What is the average rating for movie titled 'When Will I Be Loved'? HINT: average rating = DIVIDE((SUM(rating_score where movie_title = 'When Will I Be Loved')), COUNT(rating_score)); Please respond with only "Yes" or "No".

SELECT AVG(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'When Will I Be Loved'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: What is the average rating for movie titled 'When Will I Be Loved'? HINT: average rating = DIVIDE((SUM(rating_score where movie_title = 'When Will I Be Loved')), COUNT(rating_score)); Please respond with only "Yes" or "No".

SELECT AVG(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'When Will I Be Loved'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_url` Expanded column name: `` Data type: TEXT Description: URL to the rating on Mubi Example of values in the column: `http://mubi.com/films/pavee-lackeen-the-traveller-girl/ratings/15610495` Question: What is the average rating for movie titled 'When Will I Be Loved'? HINT: average rating = DIVIDE((SUM(rating_score where movie_title = 'When Will I Be Loved')), COUNT(rating_score)); Please respond with only "Yes" or "No".

SELECT AVG(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'When Will I Be Loved'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: What is the average rating for movie titled 'When Will I Be Loved'? HINT: average rating = DIVIDE((SUM(rating_score where movie_title = 'When Will I Be Loved')), COUNT(rating_score)); Please respond with only "Yes" or "No".

SELECT AVG(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'When Will I Be Loved'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_subscriber` Expanded column name: `` Data type: INTEGER Description: whether the user was a subscriber when he rated the movie Value description: 1 = the user was a subscriber when he rated the movie 0 = the user was not a subscriber when he rated the movie Example of values in the column: `0` Question: What is the user avatar url for user 41579158? What is the latest movie rated by him / her? HINT: user avatar url refers to user_avatar_image_url; latest movie rated refers to latest rating_date; Please respond with only "Yes" or "No".

SELECT T3.user_avatar_image_url, T3.rating_date_utc FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T3.user_id = T2.user_id WHERE T3.user_id = 41579158 ORDER BY T3.rating_date_utc DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_cover_image_url` Expanded column name: `` Data type: TEXT Description: URL to the user profile cover image on Mubi Example of values in the column: `https://assets.mubicdn.net/images/cover_images/37844/images-small.png?1444549039` Question: What is the user avatar url for user 41579158? What is the latest movie rated by him / her? HINT: user avatar url refers to user_avatar_image_url; latest movie rated refers to latest rating_date; Please respond with only "Yes" or "No".

SELECT T3.user_avatar_image_url, T3.rating_date_utc FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T3.user_id = T2.user_id WHERE T3.user_id = 41579158 ORDER BY T3.rating_date_utc DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_date_utc` Expanded column name: `` Data type: TEXT Description: Rating date for the movie rating. Value description: YYYY-MM-DD Example of values in the column: `2017-06-10` Question: What is the user avatar url for user 41579158? What is the latest movie rated by him / her? HINT: user avatar url refers to user_avatar_image_url; latest movie rated refers to latest rating_date; Please respond with only "Yes" or "No".

SELECT T3.user_avatar_image_url, T3.rating_date_utc FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T3.user_id = T2.user_id WHERE T3.user_id = 41579158 ORDER BY T3.rating_date_utc DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_avatar_image_url` Expanded column name: `` Data type: TEXT Description: URL to the user profile image on Mubi Example of values in the column: `https://assets.mubicdn.net/images/avatars/74283/images-w150.jpg?1523895155` Question: What is the user avatar url for user 41579158? What is the latest movie rated by him / her? HINT: user avatar url refers to user_avatar_image_url; latest movie rated refers to latest rating_date; Please respond with only "Yes" or "No".

SELECT T3.user_avatar_image_url, T3.rating_date_utc FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T3.user_id = T2.user_id WHERE T3.user_id = 41579158 ORDER BY T3.rating_date_utc DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: What is the percentage of the ratings were rated by user who was a subcriber? HINT: user is a subscriber refers to user_subscriber = 1; percentage of ratings = DIVIDE(SUM(user_subscriber = 1), SUM(rating_score)) as percent; Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_subscriber` Expanded column name: `` Data type: INTEGER Example of values in the column: `0` Question: What is the percentage of the ratings were rated by user who was a subcriber? HINT: user is a subscriber refers to user_subscriber = 1; percentage of ratings = DIVIDE(SUM(user_subscriber = 1), SUM(rating_score)) as percent; Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: List all movie title rated in April 2020 from user who was a trialist. HINT: movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; Please respond with only "Yes" or "No".

SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: List all movie title rated in April 2020 from user who was a trialist. HINT: movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; Please respond with only "Yes" or "No".

SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_eligible_for_trial` Expanded column name: `` Data type: INTEGER Example of values in the column: `1` Question: List all movie title rated in April 2020 from user who was a trialist. HINT: movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; Please respond with only "Yes" or "No".

SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `critic` Expanded column name: `` Data type: TEXT Description: Critic made by the user rating the movie. Value description: If value = "None", the user did not write a critic when rating the movie. Example of values in the column: `I am a bit disappointed by this documentary film I've been wanting to watch for years as it is way less informative than I had imagined and rather cheaply made technically speaking. Otherwise it is O.K. and rather interesting.` Question: List all movie title rated in April 2020 from user who was a trialist. HINT: movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; Please respond with only "Yes" or "No".

SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_timestamp_utc` Expanded column name: `` Data type: TEXT Description: Timestamp for the movie rating made by the user on Mubi Example of values in the column: `2017-06-10 12:38:33` Question: List all movie title rated in April 2020 from user who was a trialist. HINT: movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; Please respond with only "Yes" or "No".

SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_trialist` Expanded column name: `` Data type: INTEGER Description: whether user was a tralist when he rated the movie Value description: 1 = the user was a trialist when he rated the movie 0 = the user was not a trialist when he rated the movie Example of values in the column: `0` Question: List all movie title rated in April 2020 from user who was a trialist. HINT: movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; Please respond with only "Yes" or "No".

SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: List ther users who gave the worst rating for movie 'Love Will Tear Us Apart'. HINT: worst rating refers to rating_score = 1; Please respond with only "Yes" or "No".

SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Love Will Tear Us Apart' AND T1.rating_score = 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: List ther users who gave the worst rating for movie 'Love Will Tear Us Apart'. HINT: worst rating refers to rating_score = 1; Please respond with only "Yes" or "No".

SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Love Will Tear Us Apart' AND T1.rating_score = 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `critic` Expanded column name: `` Data type: TEXT Description: Critic made by the user rating the movie. Value description: If value = "None", the user did not write a critic when rating the movie. Example of values in the column: `I am a bit disappointed by this documentary film I've been wanting to watch for years as it is way less informative than I had imagined and rather cheaply made technically speaking. Otherwise it is O.K. and rather interesting.` Question: List ther users who gave the worst rating for movie 'Love Will Tear Us Apart'. HINT: worst rating refers to rating_score = 1; Please respond with only "Yes" or "No".

SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Love Will Tear Us Apart' AND T1.rating_score = 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: List ther users who gave the worst rating for movie 'Love Will Tear Us Apart'. HINT: worst rating refers to rating_score = 1; Please respond with only "Yes" or "No".

SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Love Will Tear Us Apart' AND T1.rating_score = 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_image_url` Expanded column name: `` Data type: TEXT Description: Image URL to the movie on Mubi Example of values in the column: `https://images.mubicdn.net/images/film/1/cache-7927-1581389497/image-w1280.jpg` Question: List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie. HINT: best rating score refers to rating_score = 5; number of Mubi user who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_url` Expanded column name: `` Data type: TEXT Description: URL to the movie page on Mubi Example of values in the column: `http://mubi.com/films/la-antena` Question: List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie. HINT: best rating score refers to rating_score = 5; number of Mubi user who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie. HINT: best rating score refers to rating_score = 5; number of Mubi user who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie. HINT: best rating score refers to rating_score = 5; number of Mubi user who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_timestamp_utc` Expanded column name: `` Data type: TEXT Description: Timestamp for the movie rating made by the user on Mubi Example of values in the column: `2017-06-10 12:38:33` Question: List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie. HINT: best rating score refers to rating_score = 5; number of Mubi user who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie. HINT: best rating score refers to rating_score = 5; number of Mubi user who loves the movie refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: For all ratings which are rated in year 2020, name the movies which has the rating scored 4 and above. HINT: ratings in year 2020 refers to rating_timestamp_utc like '%2020%'; rating_score > = 4; Please respond with only "Yes" or "No".

SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: For all ratings which are rated in year 2020, name the movies which has the rating scored 4 and above. HINT: ratings in year 2020 refers to rating_timestamp_utc like '%2020%'; rating_score > = 4; Please respond with only "Yes" or "No".

SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: For all ratings which are rated in year 2020, name the movies which has the rating scored 4 and above. HINT: ratings in year 2020 refers to rating_timestamp_utc like '%2020%'; rating_score > = 4; Please respond with only "Yes" or "No".

SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_timestamp_utc` Expanded column name: `` Data type: TEXT Description: Timestamp for the movie rating made by the user on Mubi Example of values in the column: `2017-06-10 12:38:33` Question: For all ratings which are rated in year 2020, name the movies which has the rating scored 4 and above. HINT: ratings in year 2020 refers to rating_timestamp_utc like '%2020%'; rating_score > = 4; Please respond with only "Yes" or "No".

SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: For all movies where users left a critic, find the movie name, user, rating and critics comments from the user. HINT: movies where users left a critic refers to critic IS NOT NULL; critic comments refers to critic; Please respond with only "Yes" or "No".

SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: For all movies where users left a critic, find the movie name, user, rating and critics comments from the user. HINT: movies where users left a critic refers to critic IS NOT NULL; critic comments refers to critic; Please respond with only "Yes" or "No".

SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `critic_comments` Expanded column name: `` Data type: INTEGER Description: Number of comments related to the critic made by the user rating the movie Example of values in the column: `0` Question: For all movies where users left a critic, find the movie name, user, rating and critics comments from the user. HINT: movies where users left a critic refers to critic IS NOT NULL; critic comments refers to critic; Please respond with only "Yes" or "No".

SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `critic_likes` Expanded column name: `` Data type: INTEGER Description: Number of likes related to the critic made by the user rating the movie Example of values in the column: `0` Question: For all movies where users left a critic, find the movie name, user, rating and critics comments from the user. HINT: movies where users left a critic refers to critic IS NOT NULL; critic comments refers to critic; Please respond with only "Yes" or "No".

SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: For all movies where users left a critic, find the movie name, user, rating and critics comments from the user. HINT: movies where users left a critic refers to critic IS NOT NULL; critic comments refers to critic; Please respond with only "Yes" or "No".

SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `critic` Expanded column name: `` Data type: TEXT Description: Critic made by the user rating the movie. Value description: If value = "None", the user did not write a critic when rating the movie. Example of values in the column: `I am a bit disappointed by this documentary film I've been wanting to watch for years as it is way less informative than I had imagined and rather cheaply made technically speaking. Otherwise it is O.K. and rather interesting.` Question: For all movies where users left a critic, find the movie name, user, rating and critics comments from the user. HINT: movies where users left a critic refers to critic IS NOT NULL; critic comments refers to critic; Please respond with only "Yes" or "No".

SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: For movie titled 'Welcome to the Dollhouse', how many percentage of the ratings were rated with highest score. HINT: rated with highest score refers to rating_score = 5; percentage = MULTIPLY(DIVIDE(SUM(rating_score = 5), COUNT(rating_score)), 100) Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN T2.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'Welcome to the Dollhouse'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: For movie titled 'Welcome to the Dollhouse', how many percentage of the ratings were rated with highest score. HINT: rated with highest score refers to rating_score = 5; percentage = MULTIPLY(DIVIDE(SUM(rating_score = 5), COUNT(rating_score)), 100) Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN T2.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'Welcome to the Dollhouse'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_url` Expanded column name: `` Data type: TEXT Description: URL to the rating on Mubi Example of values in the column: `http://mubi.com/films/pavee-lackeen-the-traveller-girl/ratings/15610495` Question: For movie titled 'Welcome to the Dollhouse', how many percentage of the ratings were rated with highest score. HINT: rated with highest score refers to rating_score = 5; percentage = MULTIPLY(DIVIDE(SUM(rating_score = 5), COUNT(rating_score)), 100) Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN T2.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'Welcome to the Dollhouse'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: For movie titled 'Welcome to the Dollhouse', how many percentage of the ratings were rated with highest score. HINT: rated with highest score refers to rating_score = 5; percentage = MULTIPLY(DIVIDE(SUM(rating_score = 5), COUNT(rating_score)), 100) Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN T2.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'Welcome to the Dollhouse'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: What is the percentage of rated movies were released in year 2021? HINT: percentage = DIVIDE(SUM(movie_release_year = 2021), COUNT(rating_id)) as percent; movies released in year 2021 refers to movie_release_year = 2021; Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN T1.movie_release_year = 2021 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_release_year` Expanded column name: `` Data type: INTEGER Description: Release year of the movie Example of values in the column: `2007` Question: What is the percentage of rated movies were released in year 2021? HINT: percentage = DIVIDE(SUM(movie_release_year = 2021), COUNT(rating_id)) as percent; movies released in year 2021 refers to movie_release_year = 2021; Please respond with only "Yes" or "No".

SELECT CAST(SUM(CASE WHEN T1.movie_release_year = 2021 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_id` Expanded column name: `` Data type: TEXT Description: ID related to the movie director on Mubi Example of values in the column: `131` Question: Who is the director of the movie Sex, Drink and Bloodshed? HINT: Sex, Drink and Bloodshed refers to movie title = 'Sex, Drink and Bloodshed'; Please respond with only "Yes" or "No".

SELECT director_name FROM movies WHERE movie_title = 'Sex, Drink and Bloodshed'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_url` Expanded column name: `` Data type: TEXT Description: URL to the movie director page on Mubi Example of values in the column: `http://mubi.com/cast/esteban-sapir` Question: Who is the director of the movie Sex, Drink and Bloodshed? HINT: Sex, Drink and Bloodshed refers to movie title = 'Sex, Drink and Bloodshed'; Please respond with only "Yes" or "No".

SELECT director_name FROM movies WHERE movie_title = 'Sex, Drink and Bloodshed'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: Who is the director of the movie Sex, Drink and Bloodshed? HINT: Sex, Drink and Bloodshed refers to movie title = 'Sex, Drink and Bloodshed'; Please respond with only "Yes" or "No".

SELECT director_name FROM movies WHERE movie_title = 'Sex, Drink and Bloodshed'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_name` Expanded column name: `` Data type: TEXT Description: Full Name of the movie director Example of values in the column: `Esteban Sapir` Question: Who is the director of the movie Sex, Drink and Bloodshed? HINT: Sex, Drink and Bloodshed refers to movie title = 'Sex, Drink and Bloodshed'; Please respond with only "Yes" or "No".

SELECT director_name FROM movies WHERE movie_title = 'Sex, Drink and Bloodshed'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_url` Expanded column name: `` Data type: TEXT Description: URL to the list page on Mubi Example of values in the column: `http://mubi.com/lists/films-that-made-your-kid-sister-cry` Question: What is the name of the most followed list? HINT: most followed list refers to MAX(list_followers); Please respond with only "Yes" or "No".

SELECT list_title FROM lists ORDER BY list_followers DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_movie_number` Expanded column name: `` Data type: INTEGER Description: Number of movies added to the list Example of values in the column: `5` Question: What is the name of the most followed list? HINT: most followed list refers to MAX(list_followers); Please respond with only "Yes" or "No".

SELECT list_title FROM lists ORDER BY list_followers DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_title` Expanded column name: `` Data type: TEXT Description: Name of the list Example of values in the column: `Films that made your kid sister cry` Question: What is the name of the most followed list? HINT: most followed list refers to MAX(list_followers); Please respond with only "Yes" or "No".

SELECT list_title FROM lists ORDER BY list_followers DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_followers` Expanded column name: `` Data type: INTEGER Description: Number of followers on the list Example of values in the column: `5` Question: What is the name of the most followed list? HINT: most followed list refers to MAX(list_followers); Please respond with only "Yes" or "No".

SELECT list_title FROM lists ORDER BY list_followers DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_second_image_url` Expanded column name: `` Data type: TEXT Example of values in the column: `https://assets.mubicdn.net/images/film/506/image-w320.jpg?1543838422` Question: What are the URL to the list page on Mubi of the lists with followers between 1-2 and whose last update timestamp was on 2012? HINT: URL to the list page on Mubi refers to list_url; list_followers = 1 OR list_followers = 2; last update timestamp was on 2012 refers to list_update_timestamp_utc BETWEEN '2012-1-1' AND '2012-12-31'; Please respond with only "Yes" or "No".

SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_first_image_url` Expanded column name: `` Data type: TEXT Example of values in the column: `https://assets.mubicdn.net/images/film/3822/image-w320.jpg?1445914994` Question: What are the URL to the list page on Mubi of the lists with followers between 1-2 and whose last update timestamp was on 2012? HINT: URL to the list page on Mubi refers to list_url; list_followers = 1 OR list_followers = 2; last update timestamp was on 2012 refers to list_update_timestamp_utc BETWEEN '2012-1-1' AND '2012-12-31'; Please respond with only "Yes" or "No".

SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_third_image_url` Expanded column name: `` Data type: TEXT Example of values in the column: `https://assets.mubicdn.net/images/film/485/image-w320.jpg?1575331204` Question: What are the URL to the list page on Mubi of the lists with followers between 1-2 and whose last update timestamp was on 2012? HINT: URL to the list page on Mubi refers to list_url; list_followers = 1 OR list_followers = 2; last update timestamp was on 2012 refers to list_update_timestamp_utc BETWEEN '2012-1-1' AND '2012-12-31'; Please respond with only "Yes" or "No".

SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_update_timestamp_utc` Expanded column name: `` Data type: TEXT Description: Last update timestamp for the list Example of values in the column: `2019-01-24 19:16:18` Question: What are the URL to the list page on Mubi of the lists with followers between 1-2 and whose last update timestamp was on 2012? HINT: URL to the list page on Mubi refers to list_url; list_followers = 1 OR list_followers = 2; last update timestamp was on 2012 refers to list_update_timestamp_utc BETWEEN '2012-1-1' AND '2012-12-31'; Please respond with only "Yes" or "No".

SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_followers` Expanded column name: `` Data type: INTEGER Description: Number of followers on the list Example of values in the column: `5` Question: What are the URL to the list page on Mubi of the lists with followers between 1-2 and whose last update timestamp was on 2012? HINT: URL to the list page on Mubi refers to list_url; list_followers = 1 OR list_followers = 2; last update timestamp was on 2012 refers to list_update_timestamp_utc BETWEEN '2012-1-1' AND '2012-12-31'; Please respond with only "Yes" or "No".

SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_url` Expanded column name: `` Data type: TEXT Description: URL to the list page on Mubi Example of values in the column: `http://mubi.com/lists/films-that-made-your-kid-sister-cry` Question: What are the URL to the list page on Mubi of the lists with followers between 1-2 and whose last update timestamp was on 2012? HINT: URL to the list page on Mubi refers to list_url; list_followers = 1 OR list_followers = 2; last update timestamp was on 2012 refers to list_update_timestamp_utc BETWEEN '2012-1-1' AND '2012-12-31'; Please respond with only "Yes" or "No".

SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_update_date_utc` Expanded column name: `` Data type: TEXT Description: Last update date for the list Value description: YYYY-MM-DD Example of values in the column: `2019-11-26` Question: What is the list ID that was first created by user 85981819? HINT: first created list refers to oldest list_creation_date_utc; Please respond with only "Yes" or "No".

SELECT list_id FROM lists_users WHERE user_id = 85981819 ORDER BY list_creation_date_utc ASC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `list_creation_date_utc` Expanded column name: `` Data type: TEXT Description: Creation date for the list Value description: YYYY-MM-DD Example of values in the column: `2009-12-18` Question: What is the list ID that was first created by user 85981819? HINT: first created list refers to oldest list_creation_date_utc; Please respond with only "Yes" or "No".

SELECT list_id FROM lists_users WHERE user_id = 85981819 ORDER BY list_creation_date_utc ASC LIMIT 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_trialist` Expanded column name: `` Data type: INTEGER Description: whether user was a tralist when he rated the movie Value description: 1 = the user was a trialist when he rated the movie 0 = the user was not a trialist when he rated the movie Example of values in the column: `0` Question: For movie id 1269, how many users, who was a paying subscriber and was eligible for trial when he rated the movie, gave the movie a rating score of less than or equal to 2? HINT: paying subscriber refers to user_has_payment_method = 1; eligible for trial refers to user_eligible_for_trial = 1; rating_score< = 2; Please respond with only "Yes" or "No".

SELECT COUNT(*) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `critic_likes` Expanded column name: `` Data type: INTEGER Description: Number of likes related to the critic made by the user rating the movie Example of values in the column: `0` Question: For movie id 1269, how many users, who was a paying subscriber and was eligible for trial when he rated the movie, gave the movie a rating score of less than or equal to 2? HINT: paying subscriber refers to user_has_payment_method = 1; eligible for trial refers to user_eligible_for_trial = 1; rating_score< = 2; Please respond with only "Yes" or "No".

SELECT COUNT(*) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `critic_comments` Expanded column name: `` Data type: INTEGER Description: Number of comments related to the critic made by the user rating the movie Example of values in the column: `0` Question: For movie id 1269, how many users, who was a paying subscriber and was eligible for trial when he rated the movie, gave the movie a rating score of less than or equal to 2? HINT: paying subscriber refers to user_has_payment_method = 1; eligible for trial refers to user_eligible_for_trial = 1; rating_score< = 2; Please respond with only "Yes" or "No".

SELECT COUNT(*) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `rating_score` Expanded column name: `` Data type: INTEGER Description: Rating score ranging from 1 (lowest) to 5 (highest) Value description: commonsense evidence: The score is proportional to the user's liking. The higher the score is, the more the user likes the movie Example of values in the column: `3` Question: For movie id 1269, how many users, who was a paying subscriber and was eligible for trial when he rated the movie, gave the movie a rating score of less than or equal to 2? HINT: paying subscriber refers to user_has_payment_method = 1; eligible for trial refers to user_eligible_for_trial = 1; rating_score< = 2; Please respond with only "Yes" or "No".

SELECT COUNT(*) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_eligible_for_trial` Expanded column name: `` Data type: INTEGER Example of values in the column: `1` Question: For movie id 1269, how many users, who was a paying subscriber and was eligible for trial when he rated the movie, gave the movie a rating score of less than or equal to 2? HINT: paying subscriber refers to user_has_payment_method = 1; eligible for trial refers to user_eligible_for_trial = 1; rating_score< = 2; Please respond with only "Yes" or "No".

SELECT COUNT(*) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `user_has_payment_method` Expanded column name: `` Data type: INTEGER Example of values in the column: `0` Question: For movie id 1269, how many users, who was a paying subscriber and was eligible for trial when he rated the movie, gave the movie a rating score of less than or equal to 2? HINT: paying subscriber refers to user_has_payment_method = 1; eligible for trial refers to user_eligible_for_trial = 1; rating_score< = 2; Please respond with only "Yes" or "No".

SELECT COUNT(*) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_id` Expanded column name: `` Data type: TEXT Description: ID related to the movie director on Mubi Example of values in the column: `131` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_url` Expanded column name: `` Data type: TEXT Description: URL to the movie director page on Mubi Example of values in the column: `http://mubi.com/cast/esteban-sapir` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title_language` Expanded column name: `` Data type: TEXT Description: By default, the title is in English. Value description: Only contains one value which is 'en' Example of values in the column: `en` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_image_url` Expanded column name: `` Data type: TEXT Description: Image URL to the movie on Mubi Example of values in the column: `https://images.mubicdn.net/images/film/1/cache-7927-1581389497/image-w1280.jpg` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_title` Expanded column name: `` Data type: TEXT Description: Name of the movie Example of values in the column: `La Antena` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_release_year` Expanded column name: `` Data type: INTEGER Description: Release year of the movie Example of values in the column: `2007` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `movie_popularity` Expanded column name: `` Data type: INTEGER Description: Number of Mubi users who love this movie Example of values in the column: `105` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_name` Expanded column name: `` Data type: TEXT Description: Full Name of the movie director Example of values in the column: `Esteban Sapir` Question: What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity. HINT: movie released in 2021 refers to movie_release_year = 2021; popularity refers to movie_popularity; Please respond with only "Yes" or "No".

SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'

movie_platform

Yes

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_id` Expanded column name: `` Data type: TEXT Description: ID related to the movie director on Mubi Example of values in the column: `131` Question: When was the first movie released and who directed it? HINT: first movie refers to oldest movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_release_year, director_name FROM movies WHERE movie_release_year IS NOT NULL ORDER BY movie_release_year ASC LIMIT 1

movie_platform

No

Human: You are a Careful data scientist. In the following, you will be given a set of information about a column in a database, a question asked about the database, and a hint regarding the question. Your task is to determine whether the column information is relevant to the question and the hint. To achieve the task, you need to follow the following steps: - First, thoroughly review the information provided for the column. - Next, understand the database question and the hint associated with it. - Based on your analysis, determine whether the column information is relevant to the question and the hint. Make sure to keep the following points in mind: - You are only given one column information, which is not enough to answer the question. So don't worry about the missing information and only focus on the given column information. - If you see a keyword in the question or the hint that is present in the column information, consider the column as relevant. - Pay close attention to the "Example of values in the column", and if you see a connection between the values and the question, consider the column as relevant. Column information: Original column name: `director_url` Expanded column name: `` Data type: TEXT Description: URL to the movie director page on Mubi Example of values in the column: `http://mubi.com/cast/esteban-sapir` Question: When was the first movie released and who directed it? HINT: first movie refers to oldest movie_release_year; Please respond with only "Yes" or "No".

SELECT movie_release_year, director_name FROM movies WHERE movie_release_year IS NOT NULL ORDER BY movie_release_year ASC LIMIT 1

movie_platform

No