Update README.md

README.md

@@ -5,11 +5,82 @@ language:
 size_categories:
 - 100K<n<1M
 task_categories:
-- text-classification
 - text-generation
+- summarization
+- translation
 tags:
-- myanmar
 - burmese
 - news
+- voa
+- nlp
+- myanmar
 ---
 
+
+# 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](https://burmese.voanews.com)
+- **Organization:** [DatarrX](https://huggingface.co/DatarrX)
+- **Curator & Developer:** [Khant Sint Heinn (Kalix Louis)](https://huggingface.co/kalixlouiis)
+- **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:
+
+| Feature | Type | Description |
+| :--- | :--- | :--- |
+| `id` | string | Unique identifier for each article (e.g., voa-mm-000000001) |
+| `title` | string | The headline of the news article |
+| `date` | string | Publication date in Burmese format |
+| `text` | string | The full body content of the article |
+| `url` | string | Original source URL |
+
+## 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. Web scraping via optimized Python scripts.
+2. Filtering specific categories for quality control.
+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](https://huggingface.co/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.*