Navanjana/sinhala-articles

Sinhala Articles Dataset

A large-scale, high-quality Sinhala text corpus curated from diverse sources including news articles, Wikipedia entries, and general web content. This dataset is designed to support a wide range of Sinhala Natural Language Processing (NLP) tasks.

📊 Dataset Overview

• —Name: Navanjana/sinhala-articles
• —Total Samples: 2,148,688
• —Languages: Sinhala (si)
• —Features:
• —text: A single column containing Sinhala text passages.
• —Size: Approximately 1M < n < 10M entries
• —License: Apache 2.0

🧾 Dataset Structure

The dataset consists of a single split:

• —train: 2,148,688 entries

Each entry is a JSON object with the following structure:

{
  "text": "ශ්‍රී ලංකාව අස්සේ ප්‍රසිද්ධ වූ වාර්තා මත පදනම්ව නව ගවේෂණ වැඩසටහන් ආරම්භ විය."
}

📌 Source Composition

The dataset aggregates content from:

• —Sinhala News Websites: Covering current events, politics, economy, and more.
• —Sinhala Wikipedia: Providing encyclopedic knowledge across various domains.
• —General Web Articles: Including blogs, opinion pieces, and other informative content.

🚀 Applications

This corpus is suitable for various NLP tasks in the Sinhala language, such as:

• —Language Modeling
• —Text Classification
• —Machine Translation
• —Summarization
• —Sentiment Analysis
• —Named Entity Recognition

📂 Accessing the Dataset

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

from datasets import load_dataset

dataset = load_dataset("Navanjana/sinhala-articles")

📜 License

This dataset is distributed under the Apache 2.0 License. Please ensure compliance with the terms of use of the original data sources.

🙏 Acknowledgements

We extend our gratitude to the contributors and platforms that provided the original content, enabling the creation of this comprehensive Sinhala text corpus.

📣 Citation

If you utilize this dataset in your research or applications, please cite it as follows:

@dataset{navanjana_sinhala_articles,
  author       = {Navanjana},
  title        = {Sinhala Articles Dataset},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/Navanjana/sinhala-articles}
}

For more information and updates, visit the dataset page on Hugging Face.