| language: | |
| - it | |
| license: apache-2.0 | |
| size_categories: | |
| - 10K<n<100K | |
| task_categories: | |
| - summarization | |
| tags: | |
| - news | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| dataset_info: | |
| features: | |
| - name: url | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: summary | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 33662566.84730539 | |
| num_examples: 9826 | |
| download_size: 21426104 | |
| dataset_size: 33662566.84730539 | |
| # News Summaries | |
| <img src="./summary.jpeg" style="display: block; margin-left: auto; margin-right: auto; width: 30%;"> | |
| ## Dataset Description | |
| News Summaries is a curated dataset for abstractive summarization. It is primarily focused on news articles. | |
| The creation of this dataset was motivated by the need for a high-quality, (synthetic) dataset for training Italian abstractive summarization models. |