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Cinema Critics and Audience Score Data

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Tags and Keywords

Movies

Ratings

Rotten

Cinema

Reviews

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Cinema Critics and Audience Score Data Dataset on Opendatabay data marketplace

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Free

About

Movie rating data capturing the critical and audience reception for over 15,000 films reviewed by Rotten Tomatoes. This resource offers detailed documentation of evaluations provided by previous viewers, offering insight into collective perspectives on a wide range of cinematic creations. It features intricate information about cast members, gripping plot summaries, and other essential aspects enriching the viewing experience, serving as a valuable archive of critical evaluation and analysis. The platform, established in 1998, uses the Tomatometer score—calculated by aggregating positive reviews from top critics—to determine if a movie is labelled "fresh" (60% or higher) or "rotten" (below 60%).

Columns

  • movie_title: The main title of the film.
  • movie_info: General descriptive information regarding the movie.
  • critics_consensus: A summary or commentary reflecting the collective viewpoint of professional critics.
  • rating: The official rating designation, such as R or NR.
  • genre: The film’s category (e.g., Drama, Comedy).
  • directors: The names of the film's director(s).
  • writers: The writer(s) credited for the movie's script.
  • cast: A list of the principal actors involved.
  • in_theaters_date: The initial theatrical release date, spanning from 1914 to 2019.
  • on_streaming_date: The date the film became available for streaming, covering a period from 1935 to 2019.
  • runtime_in_minutes: The running time of the film in minutes.
  • studio_name: The name of the production studio.
  • tomatometer_status: The final classification given by the Tomatometer (Fresh or Rotten).
  • tomatometer_rating: The percentage score awarded by critics (the Tomatometer score), with an average score of 60.5.
  • tomatometer_count: The total number of critics’ reviews aggregated for the rating calculation, averaging 56.6.
  • audience_rating: The percentage rating provided by the general audience, also averaging 60.5.
  • audience_count: The total count of audience reviews and scores, averaging 152,000.

Distribution

The data product is contained in a single CSV file named Rotten Tomatoes Movies.csv, with a file size of 22.62 MB. It is structured across 17 distinct columns and includes information for well over 15,000 individual movie entries.

Usage

This resource is ideal for various research and application development purposes:
  • Analysing sentiment differences between professional critics and the viewing public.
  • Studying the impact of factors like genre, studio affiliation, or runtime on a movie's success.
  • Developing machine learning models to predict a film’s critical reception or audience appeal.
  • Tracking historical trends in film release strategies, contrasting in-theatre vs. streaming distribution timelines.

Coverage

The dataset primarily focuses on movies reviewed by Rotten Tomatoes. The temporal scope is wide, with theatrical release dates ranging from 1 June 1914 to 7 December 2019, while streaming availability dates start from 6 June 1935. Coverage spans diverse cinematic content, including various genres, production studios, and MPAA ratings.

License

Attribution 4.0 International (CC BY 4.0)

Who Can Use It

  • Data Scientists: For developing predictive analytics regarding film success and audience metrics.
  • Media and Entertainment Analysts: For market research into genre popularity, studio performance, and shifts in consumer media habits.
  • Academics and Film Historians: For detailed research into the evolution of film criticism and audience behaviour over time.

Dataset Name Suggestions

  • Rotten Tomatoes Film Review Archive
  • Global Movie Ratings and Metrics
  • Cinema Critics and Audience Score Data
  • RT Film Catalogue and Metrics

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

07/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format