Update README.md

README.md

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 ---
-license: odc-by
+language:
+- my
+license: cc-by-4.0
+size_categories:
+- 100K<n<1M
+task_categories:
+- text-generation
+- text-classification
+- fill-mask
+tags:
+- myanmar
+- burmese
+- nlp
+- moi
+- articles
+- government
+dataset_info:
+  features:
+  - name: url
+    dtype: string
+  - name: title
+    dtype: string
+  - name: content
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 4253
+pretty_name: Ministry of Information (MOI) Articles Dataset
 ---
-# DatarrX/moi-myanmar-articles
 
-Dataset automatically uploaded from MOI Article project.
+
+# MOI Myanmar Articles Dataset (DatarrX/moi-myanmar-articles)
+
+## Dataset Description
+
+The **MOI Myanmar Articles** dataset is a collection of official articles extracted directly from the Ministry of Information (MOI) website of the Republic of the Union of Myanmar. This dataset is curated exclusively to foster the growth, research, and development of the Myanmar (Burmese) language within the fields of Natural Language Processing (NLP) and Machine Learning (ML).
+
+### Dataset Summary
+
+- **Publisher / Organization:** DatarrX (Burmese: ဒေတာအက်စ်)
+- **Creator:** Khant Sint Heinn  (Burmese: ခန့်ဆင့်ဟိဏ်း)
+- **Original Source:** [Ministry of Information (MOI)](https://www.moi.gov.mm/)
+- **Language:** Myanmar (Burmese) (`my`)
+- **Total Records:** 4,253 articles
+
+---
+
+## Dataset Structure
+
+The dataset is formatted as a `DatasetDict` containing a single `train` split. 
+
+- **Split:** `train`
+- **Number of rows:** 4,253
+- **Output Format:** `.parquet`
+
+### Features
+
+| Feature Name | Type | Description |
+| :--- | :--- | :--- |
+| `url` | `string` | The direct URL to the original article on the MOI website. |
+| `title` | `string` | The official headline/title of the article. |
+| `content` | `string` | The full body text of the article. |
+
+---
+
+## Creation Process & Methodology
+
+The data was compiled using a robust Python web-scraping script designed to interface seamlessly with the official MOI portal. The scraper programmatically navigated through available pagination, extracted the article URLs, and accurately parsed the title and main text body using `BeautifulSoup`. 
+
+The extraction successfully mapped the targeted information into a clean, structured `.parquet` file format (`moi_articles_full.parquet`), ensuring high-quality formatting suitable for immediate use in machine learning pipelines. 
+
+For transparency, the complete source code of the scraping methodology can be reviewed in our GitHub repository:
+**[MOI Myanmar Scraper Repository](https://github.com/DatarrX/moi-myanmar-scraper)**
+
+---
+
+## Legal Notice, Disclaimer, & Terms of Use
+
+Please read this section carefully before utilizing the dataset. This dataset intersects with governmental intellectual property and is bound by specific terms of use.
+
+### 1. Purpose and Non-Profit Declaration
+This dataset was created and released by **DatarrX** with **zero commercial intent**. Our sole purpose is the advancement of the Myanmar language in artificial intelligence, machine learning, and natural language processing. DatarrX derives absolutely no financial benefit or profit from the distribution of this data.
+
+### 2. Copyright & Intellectual Property
+The original ownership, copyright, and intellectual property rights of all texts within this dataset belong entirely to the **Ministry of Information (MOI), Myanmar**. We provide this dataset "as is" and make no claims of ownership over the content itself. 
+
+### 3. Usage & Licensing
+This dataset is distributed as open-source under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license for research and educational purposes. **However, for any commercial utilization, it is highly recommended to seek direct and explicit permission from the Ministry of Information.**
+
+### 4. Zero Modification Policy (Exact Replica)
+To preserve the integrity of the data, the dataset has been created identically to the source material. **We have not altered, modified, omitted, or edited a single character.** The data is presented as an exact replica of what was published on the official website. Nothing has been hidden, deleted, or adjusted to fit any specific narrative. We maintain profound respect for the original authors.
+
+### 5. Disclaimer of Liability and Bias
+The terminologies, vocabulary, statements, ideologies, and narratives present in this dataset strictly reflect the personal views, perspectives, and intent of the original authors and the publishing entity. **Therefore, the data may contain inherent biases, political perspectives, or subjective opinions.** 
+
+These views **do not** belong to, nor do they reflect the stance of, Khant Sint Heinn, DatarrX, or any associated contributors. Regardless of how biased the original text may be, we have objectively extracted the data without imposing our own views or making any personal adjustments. 
+
+DatarrX provides no warranty or guarantee for the content. Any issues, disputes, controversies, or differences of opinion regarding the subject matter lie strictly between the reader and the original author/publisher.
+
+---
+
+## Citation (APA Format)
+
+If you use this dataset in your research or application, please cite it using the following format:
+
+```APA
+Khant Sint Heinn, & DatarrX. (2026). *MOI Myanmar Articles Dataset* [Data set]. Hugging Face. https://huggingface.co/datasets/DatarrX/moi-myanmar-articles
+```
+
+---
+*Created with dedication for the advancement of Myanmar NLP by DatarrX.*