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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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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 CNN DAILYMAIL was filtered by using the code by Aumiller et al. (1) available at https://github.com/dennlinger/summaries/tree/main with following settings: |
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min_length_summary = 18; min_length_reference = 250; length_metric = "whitespace" |
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min_compression_ratio = 2.5 |
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Furthermore: |
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* line breaks: every \n in the reference summaries (column "reference-summary") was replaced by a space. The articles (column "text") did not contain any line breaks |
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* non-breaking spaces: every \xa0 (both in articles and in summaries) was replaced by a space |
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* bi-gram_overlap_fraction between summary and original text <= 0.63, meaning that all summaries in the dataset are on the abstractive side |
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Then, 5k random rows were selected and kept in the dataset. All other rows were removed. |
