MovieLens 32M: Movie Ratings Released May 2024

MovieLens 32M is a large-scale dataset of movie ratings released in May 2024 and hosted on Kaggle. The dataset likely contains user-movie interactions, which are foundational for collaborative filtering research. Its specific scale, columns, and collection methodology require verification after download.

Use Cases

• Train a collaborative filtering model for movie recommendations (inferred from domain, verify after download)
• Benchmark matrix factorization techniques on user-item interaction data (inferred from domain, verify after download)
• Analyze user rating patterns and preferences (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.
• Released in May 2024, suggesting recent compilation.

Limitations

• Metadata is minimal; actual content, scale, and column definitions require verification after download.
• Row count, file formats, and license details are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Likely collected from a movie recommendation service, but specific methodology is unknown.

Time Range

Temporal coverage of the ratings is unknown.

Freshness

Released 05/2024.

Geography

Spatial coverage of the user base is unknown.