---
task_categories:
- summarization
language:
- en
---
CNN/DailyMail dataset filtered by using the code by Aumiller et al. (1) available at https://github.com/dennlinger/summaries/tree/main

min_length_summary = 18; min_length_reference = 150; length_metric = "whitespace"

bi-gram_overlap_fraction between summary and original text <= 0.630

min_compression_ratio = 2.5

---
Moreover:
- all articles longer than 512 tokens were removed from the dataset.
- Each line break ("\n") inside of a highlight was replaced by an empty space (" ").
---
(1): Aumiller, D., Fan, J., & Gertz, M. (2023). On the State of German (Abstractive) Text Summarization. arXiv preprint arXiv:2301.07095.