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--- |
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tags: |
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- low-resource-language |
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pretty_name: Sinhala Perplexity Test Dataset |
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size_categories: |
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- n<1K |
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configs: |
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- config_name: default |
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data_files: |
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- split: data |
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path: data/data-* |
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dataset_info: |
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features: |
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- name: sinhala_unicode |
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dtype: string |
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- name: sinhala_romanized |
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dtype: string |
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splits: |
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- name: data |
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num_bytes: 24794 |
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num_examples: 200 |
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download_size: 14779 |
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dataset_size: 24794 |
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language: |
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- si |
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--- |
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# Sinhala Perplexity Test Dataset |
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## Dataset Description |
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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. |
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## Dataset Structure |
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The dataset consists of two fields: |
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- `sinhala_unicode`: Sinhala sentences written in Unicode Sinhala script. |
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- `sinhala_romanized`: Corresponding sentences transliterated into Romanized Sinhala. |
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Each entry in the dataset corresponds to one pair of sentences. |
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## How to Use the Dataset |
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You can easily load the dataset using the `datasets` library: |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("Minuri/sinhala-perplexity-test-dataset") |
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# Access the first example |
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example = dataset['data'][0] |
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print("Unicode Sentence:", example['sinhala_unicode']) |
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print("Romanized Sentence:", example['sinhala_romanized']) |
