Dataset-for-QuotAnaSum: News Articles from 22 Media Outlets

Two article datasets collected from 22 reputable media outlets for the QuotAnaSum system. Each article contains between 1000 and 2000 words, and the data is stored in a 3.5 MB JSON file. The dataset was authored by Shiyu Han and last updated on May 21, 2026.

Use Cases

• Training quote extraction models based on articles from diverse media sources.
• Developing abstractive summarization systems based on long-form news articles.
• Analyzing journalistic writing styles and content diversity across different media outlets.
• Benchmarking NLP models for tasks involving structured information extraction from text.

Strengths

• Articles sourced from 22 different media outlets, suggesting diversity in content.
• Each article is a substantial 1000-2000 words in length.
• Data is provided in a structured JSON format, which is 3.5 MB in size.
• Released under the permissive Apache-2.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

22 reputable media outlets (specific outlets not named).

Collection Method

Collected for use in the QuotAnaSum system.

Freshness

Last updated 2026-05-21 15:03:13; freshness should be verified.