CNN DailyMail Summarization Model Outputs for Test Set

Cnn Dailymail Test Outputs is a dataset containing model-generated summaries for the test split of the CNN/DailyMail news summarization dataset. The dataset was created by user 'cestwc' and uploaded to Hugging Face in April 2022. It is categorized as containing 100K<n<1M text samples.

Use Cases

• Benchmark summarization model performance by comparing generated summaries in this dataset to the reference summaries in the original CNN/DailyMail test set.
• Analyze common error patterns in model-generated text by examining the output summaries for factual consistency, fluency, and coverage.
• Train a reward model or evaluator for summarization by using these outputs as examples of model-generated text alongside human-written references.

Strengths

• Derived from the widely-used CNN/DailyMail benchmark dataset, ensuring relevance for summarization research.
• Contains a substantial volume of text data, falling within the 100,000 to 1 million sample size category.

Limitations

• The dataset contains only model outputs, not the original source articles or reference summaries, requiring users to obtain the base dataset separately.
• The specific model(s) used to generate the outputs and their performance metrics are not described.
• Data is from 2022 and may not reflect the capabilities of more recent state-of-the-art summarization models.

Provenance

Source

Hugging Face user 'cestwc'.

Collection Method

Model-generated outputs based on the test articles from the CNN/DailyMail dataset.

Time Range

null

Freshness

Last updated in April 2022.

Geography

Region tag indicates 'us', suggesting a US focus for the source news articles.