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Film Critic and User Reviews Dataset
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset offers an excellent collection of information on successful movies highly rated by both critics and viewers. It provides technical details for each film, including box office figures, production crews, credits, airing dates, and film lengths. The core of this dataset comprises the ratings given by both critics and viewers, which are valuable for discovering popular films. It aims to offer insights into how top-rated movies performed in terms of viewership, audience scores, and critical evaluations. This resource details over 900 top-rated films, serving as a key tool for anyone interested in researching highly regarded cinema and exploring topics such as film trends and filmmaking techniques.
Columns
- title: The title of the movie (String).
- year: The year the movie was released (Integer).
- synopsis: A brief summary of the movie (String).
- critic_score: The score given to the movie by critics (Integer).
- people_score: The score given to the movie by viewers (Integer).
- consensus: A summary of the reviews for the movie (String).
- total_reviews: The total number of reviews for the movie (Integer).
- total_ratings: The total number of ratings for the movie (Integer).
- type: The type of movie (e.g., feature film, documentary) (String).
- genre: The genre of the movie (e.g., action, comedy) (String).
- original_language: The original language of the movie (String).
- director: The director of the movie (String).
- producer: The producer of the movie (String).
- writer: The writer of the movie (String).
- release_date_(theaters): The date the movie was released in cinemas (Date).
- release_date_(streaming): The date the movie was released for streaming (Date).
- box_office_(gross_usa): The total box office gross in the USA (Integer).
- runtime: The length of the movie in minutes (Integer).
- production_co: The production company of the movie (String).
- sound_mix: The sound mix used for the movie (String).
- aspect_ratio: The aspect ratio of the movie (String).
- view_the_collection: A link to the collection the movie is part of (URL).
- crew: The crew members involved in the movie (String).
- link: A direct link related to the movie (URL).
Distribution
This dataset is provided as a CSV file named
rotten_tomatoes_top_movies.csv. It has a file size of 1.79 MB and contains approximately 1610 records of top-rated movies.Usage
This dataset is ideal for:
- Developing a movie recommendation application utilising critic and user reviews.
- Analysing trends in highly-rated movies over time, by examining release year, total review counts, total ratings, and box office gross.
- Performing sentiment analysis on critical reviews to identify top-rated films with positive or negative review sentiment across different movie genres.
- Researching high-rated films and exploring various topics such as film trends and filmmaking techniques.
- Discovering new favourite movies based on established critic and viewer opinions.
Coverage
The dataset primarily focuses on movies with box office gross figures for the USA. The original languages of the films are varied, with English being the most prevalent (80%). The time range for the movies' release years spans from 1919 to 2020. Streaming release dates range from 2001 to 2020. The scope includes ratings from both professional film critics and general viewers.
License
CC0 1.0 Universal (CC0 1.0) - Public Domain
Who Can Use It
- Film Enthusiasts: To find highly-rated movies and explore film details.
- Data Scientists & Analysts: For building recommendation systems, trend analysis, and sentiment analysis on reviews.
- Researchers: To study film trends, filmmaking techniques, and the impact of critical vs. audience reception.
- Application Developers: To integrate movie data and ratings into their platforms.
Dataset Name Suggestions
- Rotten Tomatoes Top Movies Ratings and Technical Data
- Film Critic and User Reviews Dataset
- Top-Rated Movies: Ratings and Production Details
- Cinema Insights: Critics vs. Audience Scores
- Global Top Films Data
Attributes
Original Data Source: Film Critic and User Reviews Dataset
QUALITY