Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-generation
+- fill-mask
+tags:
+- code-switching
+- code-mixed
+- myanmar
+- burmese
+- conversational-ai
+- natural-language
+- human-curated
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 1111
+size_categories:
+- 1K<n<10K
+language:
+- my
+- en
+---
+
+# 🇲🇲 Burmese-English Code-Mixed Corpus ꒰ 1,111 Rows ꒱
+
+A high-quality, human-curated dataset of code-mixed Burmese and English sentences, specifically designed for Natural Language Processing (NLP) and Machine Learning (ML) research.
+
+## Dataset Details
+
+- **Organization:** [DatarrX](https://huggingface.co/DatarrX)
+- **Creator:** [Khant Sint Heinn (Kalix Louis)](https://huggingface.co/kalixlouiis)
+- **Number of Rows:** 1,111
+- **Language:** Burmese (Unicode) & English Mix
+- **Dataset Format:** `.txt`
+- **License:** Apache 2.0
+
+## Description
+
+The **Burmese-English Code-Mixed Corpus** is a general-purpose dataset containing 1,111 unique sentences reflecting the contemporary linguistic patterns of Myanmar's digital society. Unlike formal datasets, this collection captures the "natural flow" of conversation where English terms are seamlessly integrated into Burmese sentence structures.
+
+Each sentence has been manually curated and verified to ensure:
+- **100% Correct Spelling:** Strict adherence to Myanmar Unicode standards.
+- **Grammatical Integrity:** While the style is casual/conversational, the underlying Burmese grammar is preserved correctly.
+- **Authentic Social Context:** Reflects real-world usage in social media, tech discussions, and daily life.
+
+## Use Cases (Purpose)
+
+This dataset is highly versatile and can be utilized in various AI/NLP domains:
+
+1.  **Large Language Model (LLM) Fine-tuning:** Training models (like Llama, GPT, or Mistral) to understand and generate natural "Burmese-English" slang and professional mix-speech.
+2.  **Sentiment Analysis:** Improving the accuracy of sentiment detection in social media posts where users mix languages to express emotions.
+3.  **Machine Translation (MT):** Developing systems that can translate code-mixed sentences without losing the original context or "vibe."
+4.  **Speech Recognition (ASR):** Training acoustic models to recognize English loanwords used within Burmese speech.
+5.  **Part-of-Speech (POS) Tagging:** Researching how English nouns and verbs function within Burmese syntax.
+
+## Usage Rights
+
+This dataset is released under the **Apache 2.0 License**. Users are encouraged to:
+- Modify, expand, or clean the data.
+- Use it for commercial or academic purposes.
+- Redistribute or integrate it into larger datasets.
+
+## Citation & Attribution
+
+If you use this dataset in your research or project, please provide credit using the following formats:
+
+### BibTeX
+```bibtex
+@dataset{khant_sint_heinn_2026_Burmese-English-Code-Mixed-Corpus,
+  author       = {Khant Sint Heinn (Kalix Louis)},
+  title        = {Burmese-English Code-Mixed Corpus (1,111 Rows)},
+  month        = feb,
+  year         = 2025,
+  publisher    = {DatarrX},
+  version      = {1.0.0},
+  url          = {https://huggingface.co/datasets/DatarrX/Burmese-English-Code-Mixed-Corpus}
+}
+```
+
+### APA Format
+Khant Sint Heinn (Kalix Louis). (2024). *Burmese-English Code-Mixed Corpus (1,111 Rows)* [Data set]. DatarrX. https://huggingface.co/datasets/DatarrX/Burmese-English-Code-Mixed-Corpus
+
+**Contact / Support:**
+For any inquiries or contributions, please contact through the [DatarrX Organization](https://huggingface.co/DatarrX) or [Kalix Louis's Profile](https://huggingface.co/kalixlouiis).