--- language: - dv - en tags: - translation - summarization - dhivehi license: mit configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: source dtype: string - name: en_translation dtype: string - name: en_summary_short dtype: string - name: en_summary_medium dtype: string - name: en_summary_detail dtype: string - name: dv_summary_short dtype: string - name: dv_summary_medium dtype: string - name: dv_summary_detail dtype: string splits: - name: train num_bytes: 376655894 num_examples: 58738 download_size: 158396140 dataset_size: 376655894 --- # Dataset Card for alakxender/dv-en-parallel-corpus ## Dataset Description This dataset contains Dhivehi news articles with their English translations and summaries at different lengths. ### Languages - Dhivehi (dv) - English (en) ### Dataset Structure ```python { "source": "string", # Original article source "en_translation": "string", # English translation "en_summary_short": "string", # Short English summary "en_summary_medium": "string", # Medium English summary "en_summary_detail": "string", # Detailed English summary "dv_summary_short": "string", # Short Dhivehi summary "dv_summary_medium": "string", # Medium Dhivehi summary "dv_summary_detail": "string" # Detailed Dhivehi summary } ``` ### Summary Types #### Short Summary (20-50 words) Best for: Executive overviews, abstracts, or capturing the essence of a text briefly. #### Medium Summary (50-100 words) Best for: Detailed summaries, reports, or providing a comprehensive overview of a text. #### Detailed Summary (100-200 words) Best for: In-depth analysis, detailed reports, or providing a comprehensive overview of a text. ### Dataset Statistics - Number of examples: 58738 ## Dataset Creation ### Source Data The dataset consists of news articles collected from various Dhivehi news sources. ### Preprocessing - Articles are translated to English - Multiple levels of summarization are generated for both languages, following the specified length guidelines - Each article includes both English and Dhivehi summaries at three different detail levels ### Note All summarization and translation tasks were performed using both fine-tuned and base models. Because the process was fully automated and unsupervised, AI-generated content can sometimes produce undesirable results.