README.md

---
tags:
- low-resource-language
- mixed-script
pretty_name: Sinhala Mixed-Script Benchmark Dataset
size_categories:
- n<1K
configs:
- config_name: default
  data_files:
  - split: data
    path: data/data*
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: data
    num_examples: 500
  language:
  - si
---
## Dataset Description
This dataset contains 500 authentic Sinhala mixed-script sentences in which Unicode Sinhala and Romanized Sinhala scripts naturally co-occur within the same text. The sentences were collected from social media platforms, blogs and online forums, preserving real-world script-switching patterns without synthetic manipulation. The dataset is designed to support research on language model robustness, script mixing, and low-resource multilingual NLP, particularly under mixed-script conditions.

This dataset was introduced and used in the following benchmark study:

> Rajapakse, M., & Weerasinghe, R. (2025). *Script Sensitivity: Benchmarking Language Models on Unicode, Romanized and Mixed-Script Sinhala*. arXiv:2601.14958v2. https://arxiv.org/abs/2601.14958v2

If you use this dataset, please cite the above paper.

## Citation
```bibtex
@article{rajapakse2026comprehensive,
  title={A Comprehensive Benchmark of Language Models on Unicode and Romanized Sinhala},
  author={Rajapakse, Minuri and Weerasinghe, Ruvan},
  journal={arXiv preprint arXiv:2601.14958},
  year={2026}
}
```

## Dataset Structure

The dataset contains a single text field:

`text`: A naturally occurring Sinhala mixed-script sentence containing both Unicode and Romanized scripts.

## Statistics

- Number of sentences: 500
- Mean sentence length: 9.49 ± 4.03 tokens
- Vocabulary size: 2,262 unique tokens

## How to Use the Dataset

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

```python
from datasets import load_dataset

dataset = load_dataset("Minuri/sinhala-mixedscript")
example = dataset["data"][0]
print(example["text"])