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

Approximately 114,000 user reviews collected from over 150 movies on IMDb. The dataset is organized by movie, with each movie's reviews stored in a separate JSON file identified by its IMDb ID. Author Daksh0505 uploaded the dataset to Hugging Face, with a last recorded update on 2025-07-16.

Use Cases

• Train sentiment analysis models based on the detailed user review text.
• Predict numeric user ratings based on the review content and title.
• Analyze review patterns and language across different movies.
• Build multi-document summarization systems for movie reviews.

Strengths

• Contains approximately 114,000 individual user reviews.
• Covers a diverse set of over 150 different movies.
• Reviews include structured fields such as title, full review text, and a numeric rating from 1 to 10.

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 temporal or source bias inherent to IMDb user submissions.

Provenance

Source

IMDb (Internet Movie Database) user reviews.

Collection Method

Likely collected via web scraping or API.

Freshness

Last updated 2025-07-16 21:37:48; freshness should be verified.