Datasets:
Update README.md
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README.md
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size_categories:
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- 1K<n<10K
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---
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To create this dataset, the test split of the Newsroom dataset (2) was filtered
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min_length_summary = 18; min_length_reference = 250; length_metric = "whitespace".
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After filtering, 10k random saples were selected and kept in this dataset. All other samples were removed.
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Furthermore:
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* all article-summary pairs with density > 2 were removed. This means that all summaries contained in the dataset are more on the abstractive side
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*
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*
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Column 'id' was added, and every sample was given the unique ID *newsroom-n*, with n starting from 1 and incrementing.
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* Following HTML escape strings found in the summaries were replaced by the corresponding unicode chatarchters:
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size_categories:
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- 1K<n<10K
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---
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+
To create this dataset, the test split of the Newsroom dataset (2) was filtered as follows:
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* The Cleaner by Aumiller et al. (1) available at https://github.com/dennlinger/summaries/tree/main was applied to the dataset with the following settings:
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min_length_summary = 18; min_length_reference = 250; length_metric = "whitespace".
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* All article-summary pairs with density > 2 were removed. This means that all summaries contained in the dataset are more on the abstractive side.
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+
After these filtering steps, 10k random saples were selected and kept in this dataset. All other samples were removed.
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Furthermore:
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* Each line break ("\n") contained in an article or a summary was replaced by an empty space (" ")
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* Columns 'date', 'density_bin', 'url', 'compression', 'coverage_bin', 'coverage' and 'title' were removed from the dataset. Column 'summary' was renamed to 'reference-summary'.
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Column 'id' was added, and every sample was given the unique ID *newsroom-n*, with n starting from 1 and incrementing.
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* Following HTML escape strings found in the summaries were replaced by the corresponding unicode chatarchters:
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