| | --- |
| | task_categories: |
| | - summarization |
| | language: |
| | - fr |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | To create this dataset, the test split of MLSUM-FR 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"** |
| | |
| | The remaining samples were filtered by a function that removed all rows with bi-gram_overlap_fraction between summary and original text >= 0.65, meaning that all **summaries in the dataset are on the abstractive side** |
| | |
| | Finally, 5k random samples were selected and kept in the dataset. All other samples were removed. |
| | |
| | (1): Aumiller, D., Fan, J., & Gertz, M. (2023). On the State of German (Abstractive) Text Summarization. arXiv preprint arXiv:2301.07095. |
