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---
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.
## 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:
```python
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']) |