| | --- |
| | task_categories: |
| | - summarization |
| | language: |
| | - fa |
| | size_categories: |
| | - 10K<n<100K |
| | dataset_info: |
| | features: |
| | - name: 'Unnamed: 0' |
| | dtype: int64 |
| | - name: id |
| | dtype: string |
| | - name: article |
| | dtype: string |
| | - name: summary |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2678493527.0838547 |
| | num_examples: 49478 |
| | - name: test |
| | num_bytes: 148817225.9580726 |
| | num_examples: 2749 |
| | - name: validation |
| | num_bytes: 148817225.9580726 |
| | num_examples: 2749 |
| | download_size: 1456639377 |
| | dataset_size: 2976127979 |
| | tags: |
| | - persian |
| | - فارسی |
| | --- |
| | # Dataset Card for Long-Summarization-Persian |
| |
|
| | ## Dataset Description |
| |
|
| | - **Homepage:** |
| | - **Repository:** |
| | - **Paper:** |
| | - **Leaderboard:** |
| | - **Point of Contact:** |
| |
|
| | ### Dataset Summary |
| |
|
| | This dataset was created by crawling all categories of ensani.ir |
| |
|
| | ### Supported Tasks and Leaderboards |
| |
|
| | This dataset can use in Text Summarization Tasks. |
| |
|
| | ### Languages |
| |
|
| | Persian language |
| |
|
| | ### Citation Information |
| |
|
| | Dear researchers, |
| | We’re excited to share this dataset with the community! If you find it useful in your work, please cite our paper (linked below) to acknowledge the effort behind its creation. Feel free to reach out with any questions or feedback. |
| | Paper link: |
| |
|
| | ``` |
| | @inproceedings{zangooei2025arled, |
| | author = {Zangooei, Saeed and Darmani, Ali and Nezhad, Hossein Fani and Mahmoudi, Leila}, |
| | title = {ARLED: Leveraging LED-based ARMAN Model for Abstractive Summarization of Persian Long Documents}, |
| | booktitle = {2025 11th International Conference on Web Research (ICWR)}, |
| | pages = {25--32}, |
| | year = {2025}, |
| | organization = {IEEE} |
| | } |
| | ``` |
