News Articles Categorized into 20 Classes

News Category Dataset (20 Classes) is a text dataset hosted on Kaggle. The title suggests it contains news articles labeled into 20 distinct categories. The dataset's author, size, and specific source are unknown.

Use Cases

• Training a multi-class text classifier for news headlines or articles (inferred from domain, verify after download)
• Benchmarking natural language processing models for topic categorization (inferred from domain, verify after download)
• Analyzing topic distribution and trends across news categories (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning.
• The title explicitly states a structured classification task with 20 classes.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, license, and last update date are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

Unknown

Freshness

Last updated date is unknown; freshness unverified.

Geography

Unknown