metadata

task_categories:
  - summarization
language:
  - en

Dataset Card for summarization_dataset.csv

This dataset is a baseline version of the CNN/DailyMail summarization dataset, preprocessed for fine-tuning summarization models. Articles and summaries have been sampled with no additional enhancements (e.g., keywords) applied.

Dataset Details

Dataset Description

The dataset includes preprocessed articles and their corresponding summaries (highlights). This dataset serves as a clean baseline for summarization experiments without the use of keywords or special tokens.

Dataset Sources

Original Dataset

The original dataset is the CNN/DailyMail summarization dataset, which contains:

Articles: News articles from CNN and DailyMail.
Highlights: Human-written summaries of the articles.

Dataset Structure

The dataset contains two columns: article highlights

Example:

Article:

The Global Economy is facing unprecedented challenges due to inflation and supply chain disruptions.

Highlights:

Global Economy faces challenges from inflation and supply chain issues.

Intended Use

This dataset was created to serve as a clean baseline dataset for summarization experiments. It allows fine-tuning transformer-based summarization models without the influence of keywords or additional enhancements.

Possible Use Cases:

Fine-tuning summarization models such as DistilBART, BART, or similar transformer-based architectures.
Benchmarking against enhanced versions of the dataset that include keywords.

Citation

If using this dataset, please cite the original CNN/DailyMail summarization dataset and mention this version.