News Forecasting Dataset for Media Analysis

Forecast News is a text dataset for news forecasting and media analysis, created by shash42 and hosted on Hugging Face. It was last updated in February 2026. The dataset's specific volume and temporal coverage are not detailed.

Use Cases

• Predict future news topics or sentiment trends from historical text content and timestamps.
• Train time-series models to analyze patterns in news article publication frequency or regional focus.
• Perform text classification on news articles to categorize events or forecast media cycles.
• Build models for cross-regional media analysis using US-sourced text data.

Strengths

• Dataset is hosted on a major platform (Hugging Face) with structured metadata.
• Includes explicit tags for time-series and text modality, indicating structured temporal text data.

Limitations

• Unknown row count, column schema, and file size prevent assessment of scale.
• Specific source, collection method, and temporal coverage are not provided.

Provenance

Source

shash42 via Hugging Face.

Collection Method

null

Time Range

null

Freshness

Last updated February 2026, indicating recent maintenance.

Geography

Region tag indicates 'us', suggesting United States focus.