Datasets:
metadata
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
{
"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.