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--- |
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tags: |
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- low-resource-language |
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- mixed-script |
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pretty_name: Sinhala Mixed-Script Benchmark 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: text |
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dtype: string |
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splits: |
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- name: data |
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num_examples: 500 |
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language: |
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- si |
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--- |
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## Dataset Description |
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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. |
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## Dataset Structure |
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The dataset contains a single text field: |
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`text`: A naturally occurring Sinhala mixed-script sentence containing both Unicode and Romanized scripts. |
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## Statistics |
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- Number of sentences: 500 |
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- Mean sentence length: 9.49 ± 4.03 tokens |
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- Vocabulary size: 2,262 unique tokens |
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## How to Use the Dataset |
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You can load the dataset using the Hugging Face datasets library: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("Minuri/sinhala-mixedscript") |
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example = dataset["data"][0] |
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print(example["text"]) |
