sinhala-articles / README.md
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---
license: apache-2.0
task_categories:
- text-generation
- text2text-generation
language:
- si
tags:
- articles
- books
- news
- sinhala
- wiki
- wikipedia
pretty_name: sinhala dataset
size_categories:
- 1M<n<10M
---
## 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](https://opensource.org/licenses/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:
```json
{
"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:
```python
from datasets import load_dataset
dataset = load_dataset("Navanjana/sinhala-articles")
```
---
## 📜 License
This dataset is distributed under the [Apache 2.0 License](https://opensource.org/licenses/Apache-2.0). 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](https://huggingface.co/datasets/Navanjana/sinhala-articles).
---