| | --- |
| | 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. |
