| --- |
| task_categories: |
| - summarization |
| language: |
| - tr |
| tags: |
| - summarization |
| - xsum |
| --- |
| |
| The XSum dataset was designed for the English language and consists of news articles, their corresponding single-sentence |
| summaries, and associated BBC article IDs. Due to the lack of high-quality summarization datasets in Turkish, a machine translation approach was employed to adapt the |
| dataset for Turkish. The Meta MT model1, which was created by Meta AI, was used to translate the original English texts into Turkish. This model was chosen because |
| it was trained on a diverse set of languages, including Turkish, making it suitable for our MT task. After the MT process, the resulting dataset, referred to as XSum-TR, |
| contains 204,045 training samples and 11,334 test samples, making it one of the most extensive Turkish summarization datasets available. |
|
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