IMDB-id: Movie Reviews with IMDb Identifiers and Raw Scores

A dataset derived from the Large Movie Review Dataset, uploaded by fgiobergia on February 6, 2025. It contains movie reviews, each linked to a specific film via an IMDb identifier (e.g., tt4654462) and includes the raw 1-10 score assigned by the reviewer. This version adds movie IDs and raw scores not present in the base stanfordnlp/imdb dataset.

Use Cases

• Sentiment classification based on review text and raw scores.
• Linking review sentiment to specific movies using the provided IMDb identifiers.
• Analyzing the relationship between raw numeric scores and review text sentiment.
• Creating enriched datasets for movie recommendation systems by combining review text with film metadata from IMDb.

Strengths

• Includes IMDb movie identifiers (e.g., tt4654462), enabling linkage to external film metadata.
• Contains raw review scores on a 1-10 scale, providing a granular sentiment signal.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Large Movie Review Dataset

Collection Method

Derived from the stanfordnlp/imdb dataset with added fields from the original source.

Freshness

Last updated 2025-02-06 14:31:01; freshness should be verified.