README.md

---
license: cc0-1.0
task_categories:
- text-classification
- text-generation
- text-to-speech
language:
- my
pretty_name: my_written_corpus
size_categories:
- 10M<n<100M
tags:
- nlp
- chatgpt
- tts
- corpus,
- language,
---

# Myanmar Written Corpus

The **Myanmar Written Corpus** is a comprehensive collection of high-quality, but not fully CLEAN, written Myanmar text, designed to address the lack of large-scale, openly accessible resources for Myanmar Natural Language Processing (NLP). It is tailored to support various tasks such as text-to-speech (TTS), automatic speech recognition (ASR), translation, text generation, and more.

This dataset serves as a critical resource for researchers and developers aiming to advance Myanmar language technologies.

## Dataset Overview

- **Language**: Myanmar
- **Format**: Parquet
- **Size**: 10 million sentences
- **License**: [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/)
- **Purpose**: To support research and development in Myanmar NLP tasks.

## Features

| Field Name       | Description                                                               |
|-------------------|---------------------------------------------------------------------------|
| `sentence_id`     | A unique numeric ID for each sentence.                                   |
| `text`            | The original written Myanmar sentence.                                  |
| `string_length`   | The number of characters in the sentence.                               |
| `length_category` | Categorization of the sentence length (e.g., `<100`, `<200`, etc.).      |

## Dataset Statistics

- **Total Sentences**: 10 million.
- **Character Length Ranges**:
  - `<100`: To be analyzed.
  - `<200`: To be analyzed.
  - `<300`: To be analyzed.
  - ... (Expand as needed).

## Example Usage

The dataset can be loaded using the `datasets` library from Hugging Face:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("freococo/myanmar-written-corpus")

# Access features
print(dataset["train"][0])  # Print the first example
print(dataset["train"][:5])  # Print the first 5 examples

# Access specific columns
texts = dataset["train"]["text"]  # Extract all sentences
lengths = dataset["train"]["string_length"]  # Extract string lengths
```

## Applications

This dataset is suitable for:
  - **Training NLP models**: Enables fine-tuning transformers for Myanmar language tasks.
  - **Text-to-Speech (TTS)**: Provides diverse text for TTS synthesis models.
  - **Automatic Speech Recognition (ASR)**: Aids in building language models for ASR systems.
  - **Machine Translation (MT)**: Offers a resource for Myanmar-to-other-languages translation models.
  - **Text Generation**: Supports training for Myanmar text generation models.

## License

This dataset is licensed under the [CC0 1.0 License](https://creativecommons.org/publicdomain/zero/1.0/). You are free to use, modify, and distribute the dataset without restrictions.

## Acknowledgments

This dataset is derived from publicly available sources, including:
  - The **Hugging Face FineWeb2** dataset, specifically its Myanmar subset.
  - Original writers, speakers, and creators of the sentences.

The dataset has undergone extensive manual and automated processing to ensure quality and utility. These efforts included text cleaning, deduplication, and categorization.

## Citation

If you use this dataset, please cite it as follows:

```

@dataset{myanmar_written_corpus,
  title = {Myanmar Written Corpus},
  author = {freococo},
  year = {2024},
  url = {https://huggingface.co/datasets/freococo/myanmar-written-corpus}
}

```