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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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+
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+ ## Dataset Card for summarization_dataset.csv
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+
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+ This dataset is a baseline version of the CNN/DailyMail summarization dataset, preprocessed for fine-tuning summarization models. Articles and summaries have been sampled with no additional enhancements (e.g., keywords) 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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+
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+ The original dataset is the CNN/DailyMail summarization dataset, which contains:
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+
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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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+
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+
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+ # Dataset Structure
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+
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+ The dataset contains two columns:
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+ article
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+ highlights
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+
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+ # Example:
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+ Article:
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+
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+ The Global Economy is facing unprecedented challenges due to inflation and supply chain disruptions.
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+
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+ Highlights:
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+
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+ Global Economy faces challenges from inflation and supply chain issues.
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+
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+ ## Intended Use
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+
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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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+
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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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+
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+ # Citation
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+
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+ If using this dataset, please cite the original CNN/DailyMail summarization dataset and mention this version.