| | --- |
| | task_categories: |
| | - summarization |
| | language: |
| | - en |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | 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: |
| | min_length_summary = 18; min_length_reference = 250; length_metric = "whitespace" |
| | min_compression_ratio = 2.5 |
| | |
| | Furthermore: |
| | * 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 |
| | * non-breaking spaces: every \xa0 (both in articles and in summaries) was replaced by a space |
| | * bi-gram_overlap_fraction between summary and original text <= 0.63, meaning that all summaries in the dataset are on the abstractive side |
| | |
| | Then, 5k random rows were selected and kept in the dataset. All other rows were removed. |
