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Rotten Tomatoes Certified Fresh Classics

Entertainment & Media Consumption

Tags and Keywords

Movies

Tabular

Ratings

Nlp

Research

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Rotten Tomatoes Certified Fresh Classics Dataset on Opendatabay data marketplace

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About

This dataset features 100 of the best-reviewed classic films from Rotten Tomatoes, ranked by their Tomatometer score. It includes only Certified Fresh films, covering cinema from its inception at the turn of the 20th century up until 1969. The Tomatometer score is a trusted measurement of critical recommendation, derived from the opinions of hundreds of film and television critics. The dataset provides detailed critic reviews and associated metadata for these historically significant movies.

Columns

  • reviewId: A unique identifier for each individual review.
  • creationDate: The date on which the critic's review was created.
  • criticName: The name of the film critic who authored the review.
  • criticPageUrl: A URL pointing to the critic's profile or page.
  • reviewState: Indicates the status or state of the review, such as 'fresh'.
  • isFresh: A boolean value indicating whether the review is considered 'fresh' (positive).
  • isRotten: A boolean value indicating whether the review is considered 'rotten' (negative).
  • isRtUrl: A boolean value indicating if the review URL is from Rotten Tomatoes.
  • isTopCritic: A boolean value indicating if the critic is designated as a 'top critic'.
  • publicationUrl: The URL of the publication where the review was originally published.
  • publicationName: The name of the publication or media outlet.
  • reviewUrl: The direct URL to the specific film review.
  • quote: An excerpt or direct quote from the critic's review.
  • scoreSentiment: The sentiment derived from the critic's score, such as 'POSITIVE'.
  • originalScore: The actual score given by the critic, presented in various formats (e.g., numerical, letter grade).
  • movieId: A unique identifier for the movie being reviewed.

Distribution

The data is typically provided in a CSV (Comma Separated Values) format, presented in a tabular structure. While the dataset focuses on 100 classic movies, the exact number of individual reviews or records is not specified, as multiple critics may review the same film. Each record represents a single critic's review of a movie.

Usage

This dataset is ideal for a variety of applications, including:
  • Sentiment analysis on historical film criticism.
  • Natural Language Processing (NLP) research, for tasks such as text classification or summarisation of reviews.
  • Film studies and academic research into cinematic history, critical reception, and evolving film standards.
  • Developing recommendation systems or content analysis tools for classic cinema.
  • Understanding the impact of the Motion Picture Production Code and its eventual destruction on film themes and criticism.

Coverage

The dataset covers classic films released from the birth of cinema (early 1900s) up until 1969. This time frame is significant as the late 1960s marked a period of cultural shifts and the end of the Hays Code, which previously dictated content in American productions. The geographic scope for the listed movies and critics is global.

License

CC BY-NC-SA

Who Can Use It

This dataset is suitable for:
  • Researchers and academics focusing on film history, cultural studies, and media analysis.
  • Data scientists and machine learning engineers for building and training models related to text analysis, sentiment prediction, and content recommendation.
  • Film enthusiasts and historians interested in exploring the critical reception of iconic classic movies.
  • Students undertaking projects in data analysis, NLP, or digital humanities.

Dataset Name Suggestions

  • [🍅Rotten Tomatoes]Best Classic Movies Of All Time
  • Classic Film Critic Reviews (Pre-1970)
  • Rotten Tomatoes Certified Fresh Classics
  • Historical Film Criticism Dataset
  • Pre-1969 Movie Review Scores

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

17/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format