metadata

task_categories:
  - summarization
language:
  - en

Dataset Card for summarization_dataset.csv

This dataset is a baseline version of the CNN/DailyMail summarization dataset, for fine-tuning summarization models. Articles and summaries have been sampled for a total 50,000 records,furthermore no additional enhancements (e.g., keywords) were 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.