News Article Collection for Summarization Tasks

Over 100,000 news articles from the US region, curated for text summarization research. LongNN created this dataset, which was last updated in March 2022.

Use Cases

• Train abstractive summarization models using article text and corresponding summary labels.
• Benchmark extractive summarization algorithms on the article content.
• Analyze writing style and information density across different news sources within the corpus.
• Fine-tune language models for news-specific text generation tasks.

Strengths

• Contains over 100,000 text documents, providing substantial training data.
• Includes data from the US region, offering a coherent linguistic domain.

Limitations

• Data is from 2022 or earlier, limiting relevance for current event analysis.
• Specific source publications and article metadata are unknown, hindering bias assessment.
• Potential class imbalance in topics or sources is not detailed.

Provenance

Source

Hugging Face user LongNN.

Collection Method

null

Time Range

null

Freshness

Last updated March 2022; static dataset.

Geography

US region.