---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 2055012505.7164633
    num_examples: 12352279
  - name: test
    num_bytes: 228334815.28353664
    num_examples: 1372476
  download_size: 992994556
  dataset_size: 2283347321
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
language:
- my
pretty_name: Myanmar CC100 Dataset
---

*Please visit to the [GitHub repository](https://github.com/chuuhtetnaing/myanmar-language-dataset-collection) for other Myanmar Langauge datasets.*

# Myanmar CC100 Dataset

A preprocessed subset of the [CC100 dataset](https://huggingface.co/datasets/statmt/cc100) containing only Myanmar language text, with consistent **Unicode** encoding.

## Dataset Description

This dataset is derived from the [statmt/cc100](https://huggingface.co/datasets/statmt/cc100) created by ["Statistical and Neural Machine Translation"](https://data.statmt.org/). It contains only the Myanmar language portion of the original CC100 dataset, with additional preprocessing to standardize text encoding.

### Preprocessing

The main preprocessing step applied to this dataset was:

- **Zawgyi to Unicode conversion**: Myanmar text can be encoded in two different ways - Zawgyi and Unicode. We detected Zawgyi-encoded text and converted it to Unicode for consistency, ensuring all text in the dataset uses the same encoding standard.

The conversion was performed using [Myanmar Tools](https://github.com/google/myanmar-tools) for detection and ICU for transliteration:

```python
from myanmartools import ZawgyiDetector
from icu import Transliterator

# Initialize the detector and converter
detector = ZawgyiDetector()
converter = Transliterator.createInstance('Zawgyi-my')

# Example conversion function
def zawgyi_to_unicode(text):
    score = detector.get_zawgyi_probability(text)
    if score > 0.5:  # If likely Zawgyi
        return converter.transliterate(text)
    return text  # Already Unicode
```

### Dataset Structure

The dataset contains only one field:
- `text`: The main text content in Myanmar language (Unicode encoded)

## Usage

You can load this dataset using the Hugging Face datasets library:

```python
from datasets import load_dataset

dataset = load_dataset("chuuhtetnaing/myanmar-cc100-dataset")
```

## Dataset Creation

This dataset was created by:
1. Extracting the Myanmar language content from the original statmt/cc100 dataset, which includes both Unicode ('my') and Zawgyi ('my_zaw') encoded text
2. Detecting Zawgyi-encoded text using Google's Myanmar Tools probabilistic detector
3. Converting Zawgyi text to Unicode using ICU's transliteration converter
4. Creating a 90-10 train-test split of the combined data

## Dependencies

The preprocessing of this dataset relied on:

- [Myanmar Tools](https://github.com/google/myanmar-tools) - For Zawgyi detection
- [PyICU](https://pypi.org/project/PyICU/) - For Zawgyi to Unicode conversion
- [Documentation](https://github.com/google/myanmar-tools/blob/master/clients/python/README.rst) - Documentation from Myanmar Tools

## License

This dataset follows the same license as the original CulturaX dataset. Please refer to the [original dataset page](https://huggingface.co/datasets/statmt/cc100) for licensing information.

Myanmar Tools is released under the [Apache License 2.0](https://github.com/google/myanmar-tools/blob/master/LICENSE).