MovieLens-32M-2023-10: Over 32 Million Movie Ratings and Tags

MovieLens data contains over 32 million movie ratings and tagging activities contributed by users since 1995. The dataset was uploaded to Kaggle in October 2023. The specific author, organization, and license details are not provided in the available metadata.

Use Cases

• Train collaborative filtering models based on the large volume of user-movie ratings.
• Analyze user tagging behavior and movie metadata based on the tagging activities mentioned in the description.
• Benchmark recommender system algorithms based on the long-term, multi-year rating history.
• Study temporal trends in movie preferences based on data collected since 1995.

Strengths

• Over 32 million individual data points, providing substantial scale.
• Data collection spans from 1995 onward, offering a long-term perspective.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Likely collected via the MovieLens website where users rate and tag movies.

Time Range

Since 1995

Freshness

Last updated date is unknown.

Geography

Global (inferred from online platform)