---
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).


---