Hugging Face's logo

Datasets:
DatarrX
/
Burmese-English-Code-Mixed-Corpus

Tasks:
Text Generation
Fill-Mask
Modalities:
Text
Formats:
text
Languages:
Burmese
English
Size:
1K - 10K
Tags:
code-switching
code-mixed
myanmar
burmese
conversational-ai
natural-language
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
Community
Burmese-English-Code-Mixed-Corpus / README.md
kalixlouiis's picture
kalixlouiis
Update README.md
14c5302 verified
preview code
|
raw
history blame contribute delete
3.6 kB
metadata 
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

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 

@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         = 2026,
  publisher    = {DatarrX},
  version      = {1.0.0},
  url          = {https://huggingface.co/datasets/DatarrX/Burmese-English-Code-Mixed-Corpus}
}

APA Format

Khant Sint Heinn (Kalix Louis). (2026). 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 or Kalix Louis's Profile.