Datasets:
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---
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. |