task_categories:summarization language:en size_categories:10K<n<100K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
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.