|
--- |
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license: odc-by |
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license_link: https://opendatacommons.org/licenses/by/ |
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language: |
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- my |
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- en |
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tags: |
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- c4 |
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- web_crawl |
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size_categories: |
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- 100K<n<1M |
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extra_gated_prompt: "Please let me send you my newsletters @@, or access the data from Kaggle." |
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extra_gated_fields: |
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|
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I will let you send newsletter to my email: checkbox |
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|
|
--- |
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|
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<div align="center"> |
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<img src="https://cdn.alexbeatson.me/blog/static/media/NerdyNerd.svg" alt="Nerdy Nerd" width="200"/> |
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</div> |
|
|
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<div align="center" style="line-height: 1;"> |
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<a href="https://github.com/alexanderbeatson" target="_blank" style="margin: 2px;"> |
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<img alt="GitHub" src="https://img.shields.io/badge/GitHub-Alexander%20Beatson-blue?logo=github" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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<a href="https://opendatacommons.org/licenses/by/" target="_blank" style="margin: 2px;"> |
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<img alt="ODC-BY" src="https://img.shields.io/badge/License-ODC--BY-green" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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</div> |
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|
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# Burmese C4 dataset (Cleaned) |
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|
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## Overview |
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This dataset is a cleaned version of the Burmese subset of the [C4 multilingual dataset](https://huggingface.co/datasets/allenai/c4/tree/main/multilingual). I clean existing script patterns and noises while retaining high-quality Myanmar (\U1000-\U109F) and English text. If I ever publicize something, it must be under the open-source license [ODC-BY](https://opendatacommons.org/licenses/by/), as always. |
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|
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## Why? |
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All of Myanmar scripts are very low-resource in this AI era. High-quality data is always needed for training robust NLP models. Garbage in - garbage out. This cleaned version of Burmese C4 is just my another _tiny_ contribution towards the development of Myanmar LLM models, enforcing character coverage, and handling legacy encoding issues like Zawgyi. |
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|
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## Cleaning Process |
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I tried the following steps to refine the data: |
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- **Remove original URLs:** Too bored to retain them, please reach out to me in case you need the original URLs. |
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- **Script & HTML Cleaning:** Removed any residual JavaScript, HTML tags, and other non-text elements. |
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- **Character Coverage Filtering:** Retained only documents where English and Myanmar Unicode characters constitute at least 95% of the text. |
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- **Whitespace Normalization:** Standardized spaces, tabs, and line breaks. |
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- **Zawgyi Detection & Conversion:** Converted auto-convertible Zawgyi text to Unicode and discarded non-convertible documents. |
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- **Tokenizer Enforcement:** Any content outside Burmese and English language constraints is replaced with `<unk>`. |
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|
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## Usage |
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This dataset is designed for: |
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- Pretraining and fine-tuning multilingual NLP models |
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- Burmese-English language modeling |
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- Low-resource NLP research |
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|
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## Dataset Format |
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- **Language Coverage:** Burmese (Unicode), English (Latin) |
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- **File Type:** JSON |
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|
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## Citation |
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Cite me plz? |
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``` |
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@dataset {alexanderbeatson, |
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author = { {Alexander Beatson} }, |
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title = { Burmese C4 dataset (Cleaned) }, |
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year = 2025, |
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url = { https://huggingface.co/datasets/alexbeatson/c4_mm }, |
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doi = { 10.57967/hf/4865 }, |
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publisher = { Hugging Face }, |
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note = {ORCID: 0000-0002-1829-5965} |
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} |
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``` |
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|
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## License |
|
This dataset is released under the [ODC-BY License](https://opendatacommons.org/licenses/by/), same as the original license. You are free to share and adapt the dataset with proper attribution. |
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|
