Multi-News Articles with Professionally Written Summaries

Consisting of news articles and corresponding human-written summaries from newser.com. Each summary is professionally written by editors and includes links to the original source articles. The data contains two features: the document text and the summary text.

Use Cases

• Train a text summarization model using the document and summary feature pairs.
• Analyze the relationship between source article content and professionally written summary style.
• Build a model to identify the source articles referenced within a summary based on the provided links.

Strengths

• Summaries are professionally written by editors, not crowd-sourced.
• Source articles are cited with links within the summaries.

Limitations

• The dataset size and number of rows are unknown.
• The specific format and separation token for the document text may require special parsing.

Provenance

Source

newser.com

Collection Method

Articles and summaries collected from the newser.com website.

Time Range

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Freshness

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Geography

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