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Datasets:
freococo
/
myanmar-written-corpus

Tasks:
Text Classification
Text Generation
Text-to-Speech
Modalities:
Tabular
Text
Formats:
parquet
Languages:
Burmese
Size:
10M - 100M
Tags:
nlp
chatgpt
tts
corpus,
language,
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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metadata
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 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
  • 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:

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. 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} }