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Selected Scary Movies Dataset

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Tags and Keywords

Movies

Horror

Criterion

Film

Cinema

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Selected Scary Movies Dataset Dataset on Opendatabay data marketplace

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About

This resource offers a detailed look at films selected for the Criterion Collection’s dedicated subsection focused on terrifying stories. The data chronicles the history of horror cinema as curated by this prestigious collection, spanning nearly a century of filmmaking. It includes entries from early examples like Benjamin Christensen’s 1922 feature Häxan up through controversial modern works, such as Lars von Trier’s Antichrist. The information was meticulously gathered through manual curation, utilizing the Criterion Collection’s official scary movies page for most film attributes, while marketing taglines and age ratings were supplied by IMDb.

Columns

  • Movie: The official title of the film, precisely as it is listed on the Criterion Collection’s "Scary movies" page. This collection includes 51 distinct titles.
  • Director: Identifies the person who directed the film, sourced from the Criterion Collection site. There are 39 unique directors represented in the dataset. David Cronenberg and Guillermo del Toro are the most frequently recurring directors, each contributing 6% of the entries.
  • Tagline: A specific marketing phrase chosen for the film, extracted from IMDb. While 42 unique taglines are present, 18% of the films do not have an associated tagline in this data set.
  • Country: The nation of origin for the movie, as supplied by the Criterion Collection site. Films originating in the United States make up 41% of the entries, followed by Japan at 22%. A total of 13 unique countries are featured.
  • Runtime: The duration of the movie, expressed in minutes, according to the Criterion Collection site. The runtimes vary widely, with a minimum duration of 70 minutes, a maximum duration of 183 minutes, and an average duration of 99.7 minutes.
  • Certificate: The official age rating assigned to the movie, sourced from IMDb. More than half of the films (53%) are currently listed as "Not Rated."
  • Year: The year the movie was initially released, taken from the Criterion Collection site. The release dates span from 1922 to 2019.

Distribution

The data is delivered in a CSV format, specifically criterion_scary_movies.csv, and is organised into 7 columns. It contains information on 51 distinct film titles. The data’s usability score is rated at 10.00. Updates to this product are expected to occur annually.

Usage

This collection is highly suitable for academic analysis of genre evolution and popular culture studies. It can be employed to track historical trends in horror movie attributes, such as runtime variations and certification changes, across decades. It is also valuable for researchers interested in understanding the representation and prevalence of specific film origin countries within curated specialty collections.

Coverage

The data’s scope is focused exclusively on the movies contained within the 'Scary Movies' grouping of the Criterion Collection. The included time frame covers nearly a hundred years, from 1922, the earliest entry, to 2019, the most recent. Geographically, while 13 different countries contribute films, the collection is heavily weighted towards productions from the United States (41%) and Japan (22%).

License

Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)

Who Can Use It

Film historians and dedicated film enthusiasts can utilise this product to study critical curation choices and historical developments in horror cinema. Data scientists and analysts can leverage it for visualisations exploring statistics related to director frequency, runtime distributions, and movie certification differences over time.

Dataset Name Suggestions

  • Criterion Collection Horror Films (1922–2019)
  • Selected Scary Movies Dataset
  • Criterion Collection Film Characteristics
  • Horror Genre Catalogue

Attributes

Original Data Source: Selected Scary Movies Dataset

Listing Stats

VIEWS

3

DOWNLOADS

0

LISTED

11/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format