Datasets:

Minuri
/

sinhala-perplexity-test-dataset

tags:
  - low-resource-language
pretty_name: Sinhala Perplexity Test Dataset
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: data
        path: data/data-*
dataset_info:
  features:
    - name: sinhala_unicode
      dtype: string
    - name: sinhala_romanized
      dtype: string
  splits:
    - name: data
      num_bytes: 24794
      num_examples: 200
  download_size: 14779
  dataset_size: 24794
language:
  - si

Sinhala Perplexity Test Dataset

Dataset Description

This dataset contains 500 sentence pairs in Sinhala, provided in two scripts: Unicode Sinhala and Romanized Sinhala. It is intended for evaluating perplexity and benchmarking language models on Sinhala text.

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

@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 consists of two fields:

sinhala_unicode: Sinhala sentences written in Unicode Sinhala script.
sinhala_romanized: Corresponding sentences transliterated into Romanized Sinhala.

Each entry in the dataset corresponds to one pair of sentences.

How to Use the Dataset

You can easily load the dataset using the datasets library:

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Minuri/sinhala-perplexity-test-dataset")

# Access the first example
example = dataset['data'][0]
print("Unicode Sentence:", example['sinhala_unicode'])
print("Romanized Sentence:", example['sinhala_romanized'])