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--- |
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task_categories: |
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- summarization |
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language: |
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- en |
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--- |
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## Dataset Card for summarization_dataset.csv |
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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. |
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## Dataset Details |
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# Dataset Description |
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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. |
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## Dataset Sources |
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# Original Dataset |
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The original dataset is the CNN/DailyMail summarization dataset, which contains: |
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Articles: News articles from CNN and DailyMail. |
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Highlights: Human-written summaries of the articles. |
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# Dataset Structure |
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The dataset contains two columns: |
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article |
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highlights |
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# Example: |
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Article: |
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The Global Economy is facing unprecedented challenges due to inflation and supply chain disruptions. |
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Highlights: |
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Global Economy faces challenges from inflation and supply chain issues. |
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## Intended Use |
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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. |
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# Possible Use Cases: |
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Fine-tuning summarization models such as DistilBART, BART, or similar transformer-based architectures. |
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Benchmarking against enhanced versions of the dataset that include keywords. |
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# Citation |
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If using this dataset, please cite the original CNN/DailyMail summarization dataset and mention this version. |
