IMDb Multi-Movie Review Dataset with 114,000 User Ratings

Approximately 114,000 user reviews collected from over 150 movies on IMDb. Each movie's reviews are stored in a separate JSON file identified by its IMDb ID. The dataset was created by chaziee and last updated on 2026-01-30.

Use Cases

• Train sentiment classification models based on user-provided numeric ratings.
• Analyze review text patterns and summary titles for natural language understanding tasks.
• Benchmark multi-document text classification models using reviews grouped by movie.
• Study user opinion dynamics across a collection of over 150 different films.

Strengths

• Contains approximately 114,000 individual user reviews.
• Covers reviews from over 150 distinct movies.
• Each review includes a numeric rating (1–10), a title, and the full review text.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or cultural bias inherent to IMDb's user base.

Provenance

Source

IMDb (Internet Movie Database)

Collection Method

Crowd-sourced user reviews collected from the platform.

Time Range

null

Freshness

Last updated 2026-01-30 04:11:04; freshness should be verified.

Geography

Regionus tag suggests a focus on US content, but specific geography is unknown.