license: mit
language:
- km
pretty_name: Khmer Text Style Transfer Dataset
task_categories:
- text-generation
size_categories:
- n<1K
tags:
- text-generation
- conditional-text-generation
- style-transfer
- seq2seq
- pytorch
- lstm
- km
- khmer
- dataset
Khmer Text Style Transformation Dataset (Normal to Royal)
This project contains a comprehensive collection of 805 Khmer language entries, specifically designed to demonstrate the conversion of "Common/Normal" Khmer into "Royal" Khmer (រាជស័ព្ទ).
1. Content Overview
The data covers a wide variety of contexts, including:
- Historical accounts: Life of King Norodom Sihanouk and historical events.
- Royal Traditions: Royal ceremonies (Water Festival, Ploughing Ceremony), Buddhist rituals, and coronations.
- Daily Actions: Common verbs such as eating, walking, sleeping.
- Physical Objects: Royal clothing, crowns, and transportation.
2. Methodology: Collaborative AI Segmentation and Translation
The dataset was created through a multi-step process leveraging AI assistance to segment and transform long sentences into concise Royal Khmer expressions.
Step-by-Step Process:
- Source Collection: Long sentences were collected from various internet sources.
- Sentence Segmentation: The collected sentences were submitted to Gemini with the instructions to break long sentences into smaller, meaningful chunks.
- Translation to Normal Khmer: The Royal Khmer chunks were then translated back into their Normal Khmer counterparts to create parallel sentence pairs.
- Data Processing: The resulting pairs were compiled into a CSV dataset with 805 entries, maintaining accurate indexing across all rows.
- Dataset Organization: All translations were structured into a tabular format for easy reference and accessibility.
4. Dataset Structure
The final output is presented in the following format:
| normal | royal |
|---|---|
| ស្ដេចញ៉ាំបាយ | ព្រះមហាក្សត្រសោយព្រះភោជនាហារ |
| ... | ... |
5. Acknowledgments
This project was developed collaboratively by:
- PEL Bunkhloem
- PHETH Soriyuon
- PHOEUN Rajame
- PHOEURN Kimhor
- PHORN Sreypov
- YIN Sambat
Special thanks to these team members for their contributions to data collection and verification.
6. Disclaimer
⚠️ Important: The translated data in this dataset has not undergone comprehensive fact-checking. While efforts have been made to ensure accuracy in the conversion from Normal Khmer to Royal Khmer, users should be aware that some translations may contain errors or inaccuracies. This dataset is provided for educational and research purposes and should be validated independently before being used in critical applications or official contexts.