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--- |
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license: other |
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license_name: custom-license |
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license_link: LICENSE |
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task_categories: |
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- text-generation |
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- text-classification |
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language: |
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- my |
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tags: |
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- Myanmar |
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- Burmese |
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- Burma |
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- News |
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- BurmeseNews |
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- MyanmarNews |
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- MyanmarLanguage |
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--- |
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# Khit Thit Dataset 🇲🇲📰 |
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A dataset of Myanmar-language news articles scraped from [Khit Thit Media](https://yktnews.com), a leading pro-democracy news outlet in Myanmar. |
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## 📌 Dataset Summary |
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- **Name**: Khit Thit Dataset |
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- **Language**: Burmese (Myanmar) |
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- **Articles**: 21,923 |
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- **Fields**: `url`, `title`, `content_paragraphs` |
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- **Time Period**: Mostly post-2021 military coup coverage |
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- **Format**: CSV, with paragraph-level segmentation for readability |
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## 🔍 Description |
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This dataset contains thousands of articles from **Khit Thit Media**, one of the most popular independent media outlets in Myanmar, especially known for its extensive coverage of the country's pro-democracy movement and human rights issues following the **2021 military coup**. |
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Founded on **1 January 2018** by acclaimed Myanmar's one of the greatest journalist **Tharlun Zaung Htet**, Khit Thit Media is widely respected for its dedication to truth, press freedom, and resistance to authoritarianism. It has become one of the most followed Burmese news pages on Facebook. |
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This dataset was scraped **strictly for AI research and academic study purposes**. It aims to support: |
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- Natural Language Processing (NLP) for low-resource languages |
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- Burmese-language modeling, summarization, and translation |
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- Information extraction and media analysis on Myanmar’s political situation |
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## 📁 Dataset Format |
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Each row in the dataset includes: |
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| Column | Description | |
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|--------|-------------| |
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| `url` | Original article URL from yktnews.com | |
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| `title` | News headline in Burmese | |
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| `content_paragraphs` | A list of body text paragraphs (as a JSON array) | |
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Example row (formatted for readability): |
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```json |
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{ |
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"url": "https://yktnews.com/2024/04/154957/", |
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"title": "အုတ်ဖိုမြို့နယ်တွင် စစ်တပ်က ...", |
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"content_paragraphs": [ |
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"အုတ်ဖိုမြို့နယ်တွင် စစ်တပ်က ...", |
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"ရန်ကုန်၊ ဧပြီ ၄", |
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"ပဲခူးတိုင်း၊ အုတ်ဖိုမြို့နယ်တွင် ...", |
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... |
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] |
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} |
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``` |
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____ |
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## ⚖️ License and Usage |
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This dataset is made available only for non-commercial, research, and educational purposes under a fair use doctrine. |
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• All rights to the original content remain with Khit Thit Media. |
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• For commercial use or redistribution, please contact Khit Thit News Agency directly. |
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### 🛑 Disclaimer |
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The creator of this dataset does not claim ownership over the original news content. The dataset was compiled to support the development of tools for underrepresented languages and to document Myanmar’s ongoing political reality through ethical, fair-use data practices. |
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## 🙌 Acknowledgements |
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Special respect and thanks to: |
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• One of the GREATEST journalist in Myanmar, **Mr. Htet** and the team at **Khit Thit Media** for their courageous journalism. |
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• The Myanmar people resisting authoritarian rule. |
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### ✅ You may: |
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- Use, share, or modify the dataset |
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- Use it for academic or research purposes |
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- Train models or AI systems using this data |
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### ❌ You may NOT: |
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- Misrepresent the origin of the dataset |
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- Claim copyright over the original article content |
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This dataset is provided **“as-is”**, without warranty. Please use responsibly. |
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⸻ |
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## 💬 Author’s Note |
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I receive **no compensation** for this work. I created this dataset because I **love the Myanmar language** and want to see it thrive in the era of **AI and open technology**. I believe this kind of resource should exist for: |
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- 🕊️ Freedom of information |
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- 🌐 Language preservation |
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- 📡 Digital equality |
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⸻ |
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## 📫 Contact |
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Have questions, suggestions, or want to collaborate? |
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Feel free to reach me at: |
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• 📧 Email: freococo@gmail.com |
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• 🤗 Hugging Face: https://huggingface.co/freococo |
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⚠️ Please note: Serious inquiries only. Any spam, scams, or malicious activity will be reported to relevant authorities, including law enforcement if necessary. |
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⸻ |
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📚 Citation |
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@misc{khitthit2025raw, |
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title = {Khit Thit Dataset}, |
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author = {freococo}, |
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year = {2025}, |
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howpublished = {\url{https://huggingface.co/datasets/freococo/khit_thit_dataset}}, |
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note = {Full-text Burmese news dataset scraped from Khit Thit Media. Intended for non-commercial research and educational use.} |
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} |
