Dark Mode
Movie Genre Performance and Classification Log
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Mapping cinematic narratives to specific genre classifications is a fundamental requirement for developing effective content-based recommendation engines. This collection provides a structured registry of film titles, their respective release years, and associated genre markers, serving as a foundational resource for machine learning practitioners. By categorising thousands of titles, it enables the analysis of thematic relationships and the creation of personalised user experiences in the digital entertainment sector.
Columns
- movieId: A unique numerical identifier assigned to each film to ensure distinct tracking within database systems.
- title: The official name of the motion picture, which typically includes the year of release enclosed in parentheses.
- genres: A pipe-separated or singular string representing the thematic categories assigned to the film, such as Drama, Comedy, or Action.
Distribution
The data is delivered in a single CSV file titled
movies.csv, with a file size of approximately 1.76 MB. It contains 35,100 valid records, maintaining a 100% validity rate with no missing or mismatched entries reported. The collection features 35,000 unique titles and 1,775 distinct genre combinations, providing a robust architecture for statistical modeling. This is a static release with no future updates expected.Usage
This resource is ideal for practicing the development of content-based recommender systems where item similarity is determined by metadata attributes. It is well-suited for exploratory data analysis to identify the most common film genres or to study the distribution of movie releases over different decades. Additionally, developers can use the clean title and ID fields to link these records with external rating datasets for hybrid recommendation experiments.
Coverage
The geographic scope is global, reflecting international cinema across a wide variety of cultures and industries. Temporally, the coverage is broad, spanning several decades as indicated by the release years integrated into the title strings. The demographic focus is inclusive of all general audience segments, with Drama representing the largest single category at 15% of the total records.
License
CC0: Public Domain
Who Can Use It
Data science students can leverage these records to build their first machine learning models focused on similarity scores and filtering. Application developers may utilise the metadata to populate movie databases for search and discovery features in entertainment apps. Furthermore, academic researchers in the field of media studies can use the genre counts to track the prevalence of specific film styles throughout cinematic history.
Dataset Name Suggestions
- Cinematic Genre Metadata for Recommender Systems
- Global Movie Title and Genre Registry
- Content-Based Filtering: 35k Movie Metadata
- Movie Genre Performance and Classification Log
- Historical Film Metadata: Titles, Years, and Genres
Attributes
Original Data Source: Movie Genre Performance and Classification Log
QUALITYLoading...
Free
Download Dataset in CSV Format
Recommended Datasets
Loading recommendations...