Xsum Llama4 Maverick Summary: BBC News Article Summaries

High-quality summaries of BBC news articles from the XSum dataset, generated using the Llama-4-Maverick-17B-128E-Instruct-FP8 model. The dataset was created by PursuitOfDataScience and last updated on June 25, 2025.

Use Cases

• Benchmarking abstractive summarization models based on the high-quality summaries.
• Training or fine-tuning summarization models using machine-generated reference summaries.
• Analyzing the performance of the Llama-4-Maverick model on the XSum summarization task.

Strengths

• Summaries are described as high-quality, concise, and accurate, preserving key facts and context.
• Generated using a specific, named large language model (Llama-4-Maverick-17B-128E-Instruct-FP8).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

BBC news articles from the XSum (Extreme Summarization) dataset.

Collection Method

Summaries generated using the Llama-4-Maverick-17B-128E-Instruct-FP8 model.

Freshness

Last updated 2025-06-25 14:38:33; freshness should be verified.