DatarrX/burmese-VOA

Dataset Card for Burmese VOA News Dataset

This dataset is a comprehensive collection of Burmese news articles crawled from Voice of America (VOA) Burmese. It is specifically curated and processed for Natural Language Processing (NLP) tasks, focusing on high-quality news content, including the "Science and Technology" category.

Dataset Summary

The Burmese VOA Dataset contains 270,546 rows of news articles. The data has been meticulously scraped and structured into a machine-readable format (JSONL) to support the development of Burmese Language Models (LLMs), text summarization, and sentiment analysis.

• —Source: VOA Burmese
• —Organization: DatarrX
• —Curator & Developer: Khant Sint Heinn (Kalix Louis)
• —Format: JSONL
• —Size: 270,546 records
• —License: Creative Commons Attribution 4.0 International (CC-BY-4.0)

Dataset Structure

Each entry in the dataset contains the following features:

Metadata & Curation

This dataset was created using custom web-scripting tools to filter and extract clean text from the VOA Burmese website. Special attention was given to the Science and Technology section to provide high-value technical vocabulary in the Burmese language.

The curation process involved:

1. 1.Web scraping via optimized Python scripts.
2. 2.Filtering specific categories for quality control.
3. 3.Formatting into standardized JSONL for easy integration with Hugging Face datasets library.

Usage & Licensing

This dataset is released under the CC-BY-4.0 License.

You are free to:

• —Share: Copy and redistribute the material in any medium or format.
• —Adapt: Remix, transform, and build upon the material for any purpose, even commercially.

Under the following terms:

• —Attribution: You must give appropriate credit to the creator (Khant Sint Heinn) and the organization (DatarrX). You should provide a link to the dataset and indicate if changes were made.

Citation & Credit

If you use this dataset in your research or production environment, please credit the author as follows:

Dataset: Burmese VOA Dataset (2026) Curated by: Khant Sint Heinn (Kalix Louis) Organization: DatarrX Source: https://huggingface.co/datasets/DatarrX/burmese-VOA

About the Author

Khant Sint Heinn (Kalix Louis) is a Machine Learning Engineer specializing in NLP and Data Foundations. As the lead developer at DatarrX, he focuses on architecting robust data pipelines and curating high-quality open-source datasets to advance the Burmese Natural Language Processing ecosystem.

His work centers on bridging the gap in low-resource language data through advanced web-scripting, data engineering, and scalable ML foundations.

• —Organization: DatarrX
• —Expertise: Machine Learning, Natural Language Processing, Data Engineering

Disclaimer: This dataset is intended for educational and research purposes. All original content rights belong to VOA Burmese.