A dataset from Kaggle containing keyword pairs for movies, likely sourced from The Movie Database (TMDB). The dataset appears to be enriched with SCL (Semantic Concept Labeling) information. The specific number of rows, columns, and temporal coverage are unknown.
Use Cases
- Train a model to predict movie genres from keyword associations (inferred from domain, verify after download)
- Analyze semantic relationships between movie concepts (inferred from domain, verify after download)
- Build a knowledge graph linking films through shared keywords (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with established data sharing practices.
- Title suggests enrichment with semantic concept labels (SCL), which may add analytical value.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- The Movie Database (TMDB), inferred from title.
- Collection Method
- Likely extracted and enriched from the TMDB API.
- Time Range
- null
- Freshness
- Last update date is unknown; freshness unverified.
- Geography
- null